Assistant (24538) - Department FW01 - Pharmaceutics, Ghent University, Belgium
Cellular Genetics Informatics Team Leader, Wellcome Sanger Institute, UnitedKingdom
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
PhD candidate in iPSCs pluripotency, differentiation potential and safety assessments, Leiden University, Netherlands
Postdoctoral Fellow in Health Sciences, University of Stavanger, Norway
Postdoctoral Fellow in Gender Studies, University of Stavanger, Norway
Research Team Leader, Sustainable Business, VTT, Finland
Early Stage Researcher - ESR, Doctoral Studentship in the Marie Sklodowska-Curie Innovation Training Network ‘Plenoptic Imaging‘, Tampere University, Finland
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Cellular Genetics Informatics Team Leader, Wellcome Sanger Institute, UnitedKingdom
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
PhD candidate in iPSCs pluripotency, differentiation potential and safety assessments, Leiden University, Netherlands
Postdoctoral Fellow in Health Sciences, University of Stavanger, Norway
Postdoctoral Fellow in Gender Studies, University of Stavanger, Norway
Research Team Leader, Sustainable Business, VTT, Finland
Early Stage Researcher - ESR, Doctoral Studentship in the Marie Sklodowska-Curie Innovation Training Network ‘Plenoptic Imaging‘, Tampere University, Finland
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Postdoctoral position in the CMS experiment, Université catholique de Louvain, Belgium
Research Assistant (Fixed term, Part time), University of Nottingham, UnitedKingdom
Researcher (satellite-based positioning), Tampere University, Finland
Research Scientist or Senior Scientist, Critical Cyber-physical Systems, VTT, Finland
Post-Doctorante / Post-Doctorant : Image Analysis of Granular Media, MINES Saint-Étienne, France
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Research Assistant (Fixed term, Part time), University of Nottingham, UnitedKingdom
Researcher (satellite-based positioning), Tampere University, Finland
Research Scientist or Senior Scientist, Critical Cyber-physical Systems, VTT, Finland
Post-Doctorante / Post-Doctorant : Image Analysis of Granular Media, MINES Saint-Étienne, France
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Doctoral fellow - Department of Criminology, Criminal Law and Social Law, Ghent University, Belgium
Postdoctoral position - METABOLIC AND SLEEP CONTROL OF CANCER, University of Padova, Italy
Research Assistant (Ethical use of AI), Tampere University, Finland
Research Associate/Fellow in Mechatronic Design for Intelligent Aeroengine in Situ Repair & Inspection Systems (fixed term), University of Nottingham, UnitedKingdom
Network Rail Fully Funded PhD Studentship – Modelling Bridge Deterioration and Maintenance, University of Nottingham, UnitedKingdom
Network Rail Fully Funded PhD Studentship – An optimisation approach for railway network recovery actions in response to disruptions, University of Nottingham, UnitedKingdom
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Postdoctoral Researcher (3 positions), Tampere University, Finland
Assistant (22068) - Department BW21 - Plants and Crops, Ghent University, Belgium
1 Postdoc position “Late Quaternary dynamics of marine paleoenvironments and Institute of Geology and Mineralogy / Group on Micropalaeontology and Palaeoecology ecosystems in the Gulf of Corinth (eastern Mediterranean)“ (f/m/d), University of Cologne, Germany
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Postdoctoral position - METABOLIC AND SLEEP CONTROL OF CANCER, University of Padova, Italy
Research Assistant (Ethical use of AI), Tampere University, Finland
Research Associate/Fellow in Mechatronic Design for Intelligent Aeroengine in Situ Repair & Inspection Systems (fixed term), University of Nottingham, UnitedKingdom
Network Rail Fully Funded PhD Studentship – Modelling Bridge Deterioration and Maintenance, University of Nottingham, UnitedKingdom
Network Rail Fully Funded PhD Studentship – An optimisation approach for railway network recovery actions in response to disruptions, University of Nottingham, UnitedKingdom
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Postdoctoral Researcher (3 positions), Tampere University, Finland
Assistant (22068) - Department BW21 - Plants and Crops, Ghent University, Belgium
1 Postdoc position “Late Quaternary dynamics of marine paleoenvironments and Institute of Geology and Mineralogy / Group on Micropalaeontology and Palaeoecology ecosystems in the Gulf of Corinth (eastern Mediterranean)“ (f/m/d), University of Cologne, Germany
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👍2
Researcher - Sea-City Interface Research Project (C3183), ETH Zurich, Switzerland
Postdocs in Foundations of Data Science, KTH Royal Institute of Technology, Sweden
Senior Researcher and Project Researcher/Doctoral Researcher, University of Turku, Finland
PhD: Tree Regeneration Niche, ETH Zurich, Switzerland
PostDoc Researcher - B2 Sea-City Interface, ETH Zurich, Switzerland
PhD: Masting & Seed Predators, ETH Zurich, Switzerland
Postdoctoral Researcher for Machine Vision and Emotion understanding, University of Oulu, Finland
Postdoc Position in Modelling of an Integrated CO2 Methanation and Steam Electrolysis Cell, University of Twente, Netherlands
Postdoc in artificial-intelligence methods for climate action, KTH Royal Institute of Technology, Sweden
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Postdocs in Foundations of Data Science, KTH Royal Institute of Technology, Sweden
Senior Researcher and Project Researcher/Doctoral Researcher, University of Turku, Finland
PhD: Tree Regeneration Niche, ETH Zurich, Switzerland
PostDoc Researcher - B2 Sea-City Interface, ETH Zurich, Switzerland
PhD: Masting & Seed Predators, ETH Zurich, Switzerland
Postdoctoral Researcher for Machine Vision and Emotion understanding, University of Oulu, Finland
Postdoc Position in Modelling of an Integrated CO2 Methanation and Steam Electrolysis Cell, University of Twente, Netherlands
Postdoc in artificial-intelligence methods for climate action, KTH Royal Institute of Technology, Sweden
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Postdoc - The Model-driven Machine Learning group, Helmholtz-Zentrum Hereon, Germany
Ph.D. students in Chemistry at UCAM, UCAM, Spain
Research / Senior Scientist, Offshore Wind Power in Freezing Sea Areas, VTT, Finland
Research / Senior Scientist, Connectivity of Autonomous Systems, VTT, Finland
Research Scientist, Maritime Systems and Automation, VTT, Finland
Research Scientist / Trainee, Mobility Services, VTT, Finland
Research / Senior Scientist, Mobility Services, VTT, Finland
Senior Scientist, Urban Energy Systems, VTT, Finland
Research Scientist, Design and Operation of Energy Systems, VTT, Finland
Research Scientist, District Heating and Cooling, VTT, Finland
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Ph.D. students in Chemistry at UCAM, UCAM, Spain
Research / Senior Scientist, Offshore Wind Power in Freezing Sea Areas, VTT, Finland
Research / Senior Scientist, Connectivity of Autonomous Systems, VTT, Finland
Research Scientist, Maritime Systems and Automation, VTT, Finland
Research Scientist / Trainee, Mobility Services, VTT, Finland
Research / Senior Scientist, Mobility Services, VTT, Finland
Senior Scientist, Urban Energy Systems, VTT, Finland
Research Scientist, Design and Operation of Energy Systems, VTT, Finland
Research Scientist, District Heating and Cooling, VTT, Finland
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Senior Scientist, Smart Grids, VTT, Finland
Senior / Research Scientist, Application of Batteries, VTT, Finland
Rolls-Royce sponsored PhD scholarship - Microstructural and surface integrity in machining of specialist composite materials for next generation aero-engine applications, University of Nottingham, UnitedKingdom
Rolls-Royce sponsored PhD scholarship – Mechatronics system for hybrid manufacturing processing, University of Nottingham, UnitedKingdom
Rolls-Royce sponsored PhD scholarship – Computer vision and robot control for performing on-wing repair of aero-engines, University of Nottingham, UnitedKingdom
Rolls Royce sponsored PhD scholarship – Micromechanics and in-depth materials analysis of advanced aerospace materials upon the manufacturing process, University of Nottingham, UnitedKingdom
Rolls-Royce sponsored PhD scholarship – Laser Beam Processing of Aerospace Materials, University of Nottingham, UnitedKingdom
Rolls Royce sponsored PhD scholarship – Machining of new aerospace materials, University of Nottingham, UnitedKingdom
Rolls-Royce sponsored PhD scholarship – Design and simulation of stiffness-adjustable robotic systems for performing on-wing repair of aero-engines, University of Nottingham, UnitedKingdom
Assistant (24550) - Department of Marketing, Innovation and Organisation, Ghent University, Belgium
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Senior / Research Scientist, Application of Batteries, VTT, Finland
Rolls-Royce sponsored PhD scholarship - Microstructural and surface integrity in machining of specialist composite materials for next generation aero-engine applications, University of Nottingham, UnitedKingdom
Rolls-Royce sponsored PhD scholarship – Mechatronics system for hybrid manufacturing processing, University of Nottingham, UnitedKingdom
Rolls-Royce sponsored PhD scholarship – Computer vision and robot control for performing on-wing repair of aero-engines, University of Nottingham, UnitedKingdom
Rolls Royce sponsored PhD scholarship – Micromechanics and in-depth materials analysis of advanced aerospace materials upon the manufacturing process, University of Nottingham, UnitedKingdom
Rolls-Royce sponsored PhD scholarship – Laser Beam Processing of Aerospace Materials, University of Nottingham, UnitedKingdom
Rolls Royce sponsored PhD scholarship – Machining of new aerospace materials, University of Nottingham, UnitedKingdom
Rolls-Royce sponsored PhD scholarship – Design and simulation of stiffness-adjustable robotic systems for performing on-wing repair of aero-engines, University of Nottingham, UnitedKingdom
Assistant (24550) - Department of Marketing, Innovation and Organisation, Ghent University, Belgium
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Researcher in trophic ecology and ecosystem functioning (M/F) PV-2022-055/1, Ifremer - French Research Institute for Exploitation of the Sea, France
PhD Position on turbulent flux reconstruction in the atmospheric boundary layer, KU Leuven, Belgium
PhD Position - Mechanochemical Processing in Recycling, KU Leuven, Belgium
University Assistant (Post-Doc), TU Wien, Austria
Postdoc, Helmholtz-Zentrum Hereon, Germany
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PhD Position on turbulent flux reconstruction in the atmospheric boundary layer, KU Leuven, Belgium
PhD Position - Mechanochemical Processing in Recycling, KU Leuven, Belgium
University Assistant (Post-Doc), TU Wien, Austria
Postdoc, Helmholtz-Zentrum Hereon, Germany
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PhD Fellowship in psychology, University of Stavanger, Norway
Computer scientist model-driven engineering, Flanders Make, None
Cybersecurity Analyst, ECMWF, UnitedKingdom
Scientist - Land Data Assimilation, ECMWF, UnitedKingdom
PhD Fellowship in Education, University of Stavanger, Norway
PhD student / post-doc researcher in Quantitative trannoscriptional gene network analysis in systems toxicology., Leiden University, Netherlands
Senior / Research Scientist, Smart Vehicle Fleets, VTT, Finland
Principal / Senior Scientist, Renewable Energy Processes, VTT, Finland
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Researcher in biogeochemistry (M/F) PV-2022-048/, Ifremer - French Research Institute for Exploitation of the Sea, France
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Computer scientist model-driven engineering, Flanders Make, None
Cybersecurity Analyst, ECMWF, UnitedKingdom
Scientist - Land Data Assimilation, ECMWF, UnitedKingdom
PhD Fellowship in Education, University of Stavanger, Norway
PhD student / post-doc researcher in Quantitative trannoscriptional gene network analysis in systems toxicology., Leiden University, Netherlands
Senior / Research Scientist, Smart Vehicle Fleets, VTT, Finland
Principal / Senior Scientist, Renewable Energy Processes, VTT, Finland
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Researcher in biogeochemistry (M/F) PV-2022-048/, Ifremer - French Research Institute for Exploitation of the Sea, France
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Research Associate/Fellow - Knowledge Mobilisation (Fixed term, Part time), University of Nottingham, UnitedKingdom
Apply for VTT's Green Transition opportunities!, VTT, Finland
Senior Scientist, Computational Materials Science, VTT, Finland
Research Scientist, Non-destructive Testing (NDT), VTT, Finland
Postdoctoral Research Fellow (Biomedical antenna systems), Tampere University, Finland
Research Assistant for the RESPOND project "Improving the Preparedness of Health Systems to Reduce Mental Health and Psychosocial Concerns resulting from the COVID-19 Pandemic", Université catholique de Louvain, Belgium
Postdoc in Biophysics, Université catholique de Louvain, Belgium
PostDoc position “Hydrological Modeller” (m/f/d), Potsdam Institute for Climate Impact Research (PIK), Germany
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Apply for VTT's Green Transition opportunities!, VTT, Finland
Senior Scientist, Computational Materials Science, VTT, Finland
Research Scientist, Non-destructive Testing (NDT), VTT, Finland
Postdoctoral Research Fellow (Biomedical antenna systems), Tampere University, Finland
Research Assistant for the RESPOND project "Improving the Preparedness of Health Systems to Reduce Mental Health and Psychosocial Concerns resulting from the COVID-19 Pandemic", Université catholique de Louvain, Belgium
Postdoc in Biophysics, Université catholique de Louvain, Belgium
PostDoc position “Hydrological Modeller” (m/f/d), Potsdam Institute for Climate Impact Research (PIK), Germany
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Fully-funded PhD Position in AI for Lifelong Learning at University of Cagliari, Sardinia, Italy.
Deadline: 8th September 2022, 12:00 pm GMT+2
Notice of competition: https://www.unica.it/unica/protected/385973/0/def/ref/AVS385912/
How to apply online: https://www.unica.it/unica/page/en/how_to_apply_for_phd_selection_guidelines_and_forms3
Your mission:
AI has deeply revolutionized fields where data can be easily collected and used to discover complex patterns and relationships that would otherwise escape the human mind. Recent advances in computer vision, sequence modeling, generative modeling, reinforcement learning, and responsible learning are enabling an intelligent automated support at scale in various applied domains. A notable domain influenced by the recent progress in AI is lifelong education, which is requiring scientists able to bridge between AI and education. Are you interested in developing AI models able to understand, improve, and support human lifelong learning? Do you want to join us on the exciting journey of transforming lifelong education through high-impact AI research?
Within the Artificial Intelligence and Big Data Laboratory (AIBD) at the Department of Mathematics and Computer Science of the University of Cagliari, the Human-Machine Understanding research unit, coordinated by Dr. Mirko Marras, has a fully-funded PhD position in AI for lifelong learning, with a special attention to its application for competence development in public administrations. The main areas of interest include intelligent learning technologies, physical and behavioral user modeling, adaptation, and personalization, recommendation, and responsible machine learning (e.g., fairness, explainability). You will work in a highly talented and motivated research group, under a friendly and constructive environment. You are expected to perform innovative research at the intersection of machine learning and education, being able to directly observe its impact in the field. Apart from this, you are expected to help with several lightweight educational activities, such as supervision of bachelor/master projects and tutoring.
Your profile:
Ideal applicants are expected to have completed a Master-level degree programme in computer science, information science, or other related technical fields. We expect a background and a proven course and/or project record in machine learning, artificial intelligence, data mining, or statistics. Prior experience in working with educational data is preferred but not mandatory, and an interest in education is a must for applying to this position. We expect excellent communication skills in English. Italian knowledge is an additional asset but not mandatory. Equal opportunities to all the applicants will be provided.
We offer:
The University of Cagliari has key international expertise in computer science, and in artificial intelligence in particular. Specifically, the AIBD lab regularly publishes its research work in top-tier journals, presents in highly-ranked conferences in the field, such as AIED, EDM, ECIR, IJCB, INTERSPEECH, L@S, and SIGIR, is involved in spin-offs where students can be engaged in business-oriented practical applications, and actively collaborates with several international universities, research institutes, and companies. You will have the opportunity to attend international conferences and schools to present your own research products and for training. Computing resources will be available to execute your agenda. Within the three-year doctorate period, you will be also offered the opportunity of spending a period of 6 months in a public administration interested in adopting AI for lifelong learning and further 6 months in an international research group among the ones collaborating with us.
✔️ @ApplyTime
Deadline: 8th September 2022, 12:00 pm GMT+2
Notice of competition: https://www.unica.it/unica/protected/385973/0/def/ref/AVS385912/
How to apply online: https://www.unica.it/unica/page/en/how_to_apply_for_phd_selection_guidelines_and_forms3
Your mission:
AI has deeply revolutionized fields where data can be easily collected and used to discover complex patterns and relationships that would otherwise escape the human mind. Recent advances in computer vision, sequence modeling, generative modeling, reinforcement learning, and responsible learning are enabling an intelligent automated support at scale in various applied domains. A notable domain influenced by the recent progress in AI is lifelong education, which is requiring scientists able to bridge between AI and education. Are you interested in developing AI models able to understand, improve, and support human lifelong learning? Do you want to join us on the exciting journey of transforming lifelong education through high-impact AI research?
Within the Artificial Intelligence and Big Data Laboratory (AIBD) at the Department of Mathematics and Computer Science of the University of Cagliari, the Human-Machine Understanding research unit, coordinated by Dr. Mirko Marras, has a fully-funded PhD position in AI for lifelong learning, with a special attention to its application for competence development in public administrations. The main areas of interest include intelligent learning technologies, physical and behavioral user modeling, adaptation, and personalization, recommendation, and responsible machine learning (e.g., fairness, explainability). You will work in a highly talented and motivated research group, under a friendly and constructive environment. You are expected to perform innovative research at the intersection of machine learning and education, being able to directly observe its impact in the field. Apart from this, you are expected to help with several lightweight educational activities, such as supervision of bachelor/master projects and tutoring.
Your profile:
Ideal applicants are expected to have completed a Master-level degree programme in computer science, information science, or other related technical fields. We expect a background and a proven course and/or project record in machine learning, artificial intelligence, data mining, or statistics. Prior experience in working with educational data is preferred but not mandatory, and an interest in education is a must for applying to this position. We expect excellent communication skills in English. Italian knowledge is an additional asset but not mandatory. Equal opportunities to all the applicants will be provided.
We offer:
The University of Cagliari has key international expertise in computer science, and in artificial intelligence in particular. Specifically, the AIBD lab regularly publishes its research work in top-tier journals, presents in highly-ranked conferences in the field, such as AIED, EDM, ECIR, IJCB, INTERSPEECH, L@S, and SIGIR, is involved in spin-offs where students can be engaged in business-oriented practical applications, and actively collaborates with several international universities, research institutes, and companies. You will have the opportunity to attend international conferences and schools to present your own research products and for training. Computing resources will be available to execute your agenda. Within the three-year doctorate period, you will be also offered the opportunity of spending a period of 6 months in a public administration interested in adopting AI for lifelong learning and further 6 months in an international research group among the ones collaborating with us.
✔️ @ApplyTime
PostDoc position at Grenoble Alps University, France
Summary
The Grenoble Alps University offers a PostDoc position for a highly motivated candidate to be working on the multi-disciplinary research project THERADIA, which aims to create an empathic virtual assistant that accompanies cognitively impaired patients during remediation exercises at home. The successful candidate will have the exciting opportunity to develop new machine learning techniques for the robust detection of affective and cognitive behaviours from newly collected audiovisual data. Models will be incorporated into the virtual agent to tailor the interaction with the patient, using specific interaction scenarios, and these models will be evaluated and fine-tuned in a clinical trial to demonstrate the effectiveness of the agent in supporting patients suffering from cognitive conditions during digital therapies. If successful, the system will be operated nationally and the cognitive remediation sessions will be covered by social security.
Duration: 2 years,
Salary: according to experience (up to 4142€ / month)
Envisaged starting date: November 2022
Scientific environment
The person recruited will be hosted within the GETALP team of the Laboratoire d’Informatique de Grenoble (LIG), which offers a dynamic, international, and stimulating framework for conducting high-level multi-disciplinary research. The GETALP team is housed in a modern building (IMAG) located on a 175-hectare landscaped campus that was ranked as the eighth most beautiful campus in Europe by Times Higher Education magazine in 2018.
Requirements
The ideal candidate must have a PhD degree and a strong background in machine learning, and affective computing or cognitive science/neuroscience.
The successful candidate should have:
· Excellent knowledge of machine learning techniques
· Good knowledge of speech and/or image processing
· Good knowledge of experimental design and statistics
· Strong programming skills in Python
· Excellent publication record
· Willing to work in multi-disciplinary and international teams
· Good communication skills
Application
Applications are expected to be received on an ongoing basis and the position will be open until filled. Applications should be sent to Fabien Ringeval (fabien.ringeval@imag.fr) and François Portet (francois.portet@imag.fr). The application file should contain:
✔️ @ApplyTime
· Curriculum vitae
· Recommendation letter
· One-page summary of research background and interests
· At least three publications demonstrating expertise in the aforementioned areas
· Pre-defence reports and defence minutes; or summary of the thesis with date of defence for those currently in doctoral studies
Summary
The Grenoble Alps University offers a PostDoc position for a highly motivated candidate to be working on the multi-disciplinary research project THERADIA, which aims to create an empathic virtual assistant that accompanies cognitively impaired patients during remediation exercises at home. The successful candidate will have the exciting opportunity to develop new machine learning techniques for the robust detection of affective and cognitive behaviours from newly collected audiovisual data. Models will be incorporated into the virtual agent to tailor the interaction with the patient, using specific interaction scenarios, and these models will be evaluated and fine-tuned in a clinical trial to demonstrate the effectiveness of the agent in supporting patients suffering from cognitive conditions during digital therapies. If successful, the system will be operated nationally and the cognitive remediation sessions will be covered by social security.
Duration: 2 years,
Salary: according to experience (up to 4142€ / month)
Envisaged starting date: November 2022
Scientific environment
The person recruited will be hosted within the GETALP team of the Laboratoire d’Informatique de Grenoble (LIG), which offers a dynamic, international, and stimulating framework for conducting high-level multi-disciplinary research. The GETALP team is housed in a modern building (IMAG) located on a 175-hectare landscaped campus that was ranked as the eighth most beautiful campus in Europe by Times Higher Education magazine in 2018.
Requirements
The ideal candidate must have a PhD degree and a strong background in machine learning, and affective computing or cognitive science/neuroscience.
The successful candidate should have:
· Excellent knowledge of machine learning techniques
· Good knowledge of speech and/or image processing
· Good knowledge of experimental design and statistics
· Strong programming skills in Python
· Excellent publication record
· Willing to work in multi-disciplinary and international teams
· Good communication skills
Application
Applications are expected to be received on an ongoing basis and the position will be open until filled. Applications should be sent to Fabien Ringeval (fabien.ringeval@imag.fr) and François Portet (francois.portet@imag.fr). The application file should contain:
✔️ @ApplyTime
· Curriculum vitae
· Recommendation letter
· One-page summary of research background and interests
· At least three publications demonstrating expertise in the aforementioned areas
· Pre-defence reports and defence minutes; or summary of the thesis with date of defence for those currently in doctoral studies
👍2
Researcher - Mathematical Methods of Economics, Finance and Actuarial Sciences (Prof. Hamel), Free University of Bozen - Bolzano, Italy
Researcher - Information processing systems (Prof. Wang), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. Nutt), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. Nutt), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. Pahl), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. Franconi), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. De Angeli), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. Di Fatta), Free University of Bozen - Bolzano, Italy
PhD Position – Modeling the Fabrication Process of Organic Solar Cells, Forschungszentrum Jülich GmbH, Germany
Postdoctoral Fellowship in Urban Studies, University of Basel, Switzerland
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
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🌐 https://applytime.ir
Researcher - Information processing systems (Prof. Wang), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. Nutt), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. Nutt), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. Pahl), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. Franconi), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. De Angeli), Free University of Bozen - Bolzano, Italy
Researcher - Informatics (Prof. Di Fatta), Free University of Bozen - Bolzano, Italy
PhD Position – Modeling the Fabrication Process of Organic Solar Cells, Forschungszentrum Jülich GmbH, Germany
Postdoctoral Fellowship in Urban Studies, University of Basel, Switzerland
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PhD Student position in the field of thin-film solar cells, Empa, Switzerland
Post-doc position in the field of thin-film devices for energy applications, Empa, Switzerland
Researcher - Interior design and staging (Prof. Gigliotti), Free University of Bozen - Bolzano, Italy
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Post-doc position in the field of thin-film devices for energy applications, Empa, Switzerland
Researcher - Interior design and staging (Prof. Gigliotti), Free University of Bozen - Bolzano, Italy
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
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Two fully funded PhD positions are available at the ANITI institute, Federal University of Toulouse, France.
The positions, funded by the European Project TUPLES, are in the area of deep learning for automated planning and scheduling, including:
- hybrid (neuro-symbolic) methods for planning and scheduling
- explanation and verification of plans, policies, and schedules
For details and application instructions, see here: https://users.cecs.anu.edu.au/~thiebaux/projects/tuples/TUPLES-PhD.pdf
We also have a postdoc position in this area. Please contact me if interested.
Sylvie Thiebaux
--
Prof. Sylvie Thiebaux
E: Sylvie.Thiebaux@gmail.com
W: http://users.cecs.anu.edu.au/~thiebaux/
✔️ @ApplyTime
The positions, funded by the European Project TUPLES, are in the area of deep learning for automated planning and scheduling, including:
- hybrid (neuro-symbolic) methods for planning and scheduling
- explanation and verification of plans, policies, and schedules
For details and application instructions, see here: https://users.cecs.anu.edu.au/~thiebaux/projects/tuples/TUPLES-PhD.pdf
We also have a postdoc position in this area. Please contact me if interested.
Sylvie Thiebaux
--
Prof. Sylvie Thiebaux
E: Sylvie.Thiebaux@gmail.com
W: http://users.cecs.anu.edu.au/~thiebaux/
✔️ @ApplyTime
PostDoc position available in Spain
Dear colleagues,
A Computational Biologist or Bioinformatician position is offered to work at the Adoptive Cell Therapy Laboratory of the Hemato-Oncology Program of the CIMA Universidad de Navarra in Pamplona (Spain). The 3-year position is funded by the European Union through the EIC Pathfinder programme and offers the opportunity to exploit deep multiomics profiling to bring novel, efficient and safer hematopoietic stem cell engineering to clinical application. The work will be in permanent collaboration with an interactive international team of basic and translational researchers.
The successful candidate will:
• Participate in the planning, processing, analysis and interpretation of next generation sequencing experiments (scRNA-seq, sc ATAC-seq, CITE-seq, etc.).
• Participate in the development of data analysis workflows and pipelines for high throughput “omics” data, as well as implementation of software tools for multiomic analysis.
• Collaborate in multiple projects, having the possibility to carry on a personal research project.
• Active participation on manunoscript preparations and project submission.
Desired qualifications:
• University degree or postgraduate training in computational biology & bioinformatics.
• Experience in the data processing and statistical analysis of high-throughput genomic data.
• Knowledge of informatics tools and visualization/data mining packages and an aptitude for optimally adapting them to specific problems.
• Knowledge of programming environment (R/Bioconductor, Matlab) and programming languages (Perl, Python, Java...).
• Good organizational, communication and interpersonal skills.
Interested applicants should send a cover letter describing past experience and interests as well as their CV including references to:
Oscar Gonzalez Moreno
ogonmor@unav.es
Tel. +34948194700 ext 811047
---
Mikel Hernaez, PhD
Computational Biology Program, Director
Machine Learning for Biomedicine, Head
CIMA University of Navarra
T: +34 948 194 700 #815000
Pío XII, 55. 31008, Pamplona, Spain
mhernaez@unav.es
✔️ @ApplyTime
Dear colleagues,
A Computational Biologist or Bioinformatician position is offered to work at the Adoptive Cell Therapy Laboratory of the Hemato-Oncology Program of the CIMA Universidad de Navarra in Pamplona (Spain). The 3-year position is funded by the European Union through the EIC Pathfinder programme and offers the opportunity to exploit deep multiomics profiling to bring novel, efficient and safer hematopoietic stem cell engineering to clinical application. The work will be in permanent collaboration with an interactive international team of basic and translational researchers.
The successful candidate will:
• Participate in the planning, processing, analysis and interpretation of next generation sequencing experiments (scRNA-seq, sc ATAC-seq, CITE-seq, etc.).
• Participate in the development of data analysis workflows and pipelines for high throughput “omics” data, as well as implementation of software tools for multiomic analysis.
• Collaborate in multiple projects, having the possibility to carry on a personal research project.
• Active participation on manunoscript preparations and project submission.
Desired qualifications:
• University degree or postgraduate training in computational biology & bioinformatics.
• Experience in the data processing and statistical analysis of high-throughput genomic data.
• Knowledge of informatics tools and visualization/data mining packages and an aptitude for optimally adapting them to specific problems.
• Knowledge of programming environment (R/Bioconductor, Matlab) and programming languages (Perl, Python, Java...).
• Good organizational, communication and interpersonal skills.
Interested applicants should send a cover letter describing past experience and interests as well as their CV including references to:
Oscar Gonzalez Moreno
ogonmor@unav.es
Tel. +34948194700 ext 811047
---
Mikel Hernaez, PhD
Computational Biology Program, Director
Machine Learning for Biomedicine, Head
CIMA University of Navarra
T: +34 948 194 700 #815000
Pío XII, 55. 31008, Pamplona, Spain
mhernaez@unav.es
✔️ @ApplyTime
Postdoc at SUNY in Neuroscience and Machine Learning
Dr. Kinreich's group at SUNY Downstate Medical Center investigates the structural and functional neural networks, genetics, and other phenotypes associated with the risk and resilience factors underlying the development of brain diseases. We use advanced machine learning algorithms and are seeking a skilled, motivated, and enthusiastic postdoctoral associate to join the lab.
Please see the Postdoctoral Associate position denoscription and documents for the application.
Best,
Sivan Kinreich
The position:
Education:
Candidates must have a Ph.D. degree (or towards completion) in neuroscience, computational neuroscience, computer science, biology or a related discipline.
Computer and General Skills:
Knowledge of experimental statistics and excellent programming skills is required (Python, Matlab). High-level expertise in neuroimaging analyses is a plus. Previous experience in machine learning analysis and computational modeling is desirable. Takes initiative. Strong communications skills and research productivity as well as the ability to work effectively in a research team.
Duties and Responsibilities:
• Managing and analyzing big data including neuroimaging, genetics, and clinical data
• Writing machine learning programs in Python and Matlab to identify patterns in data
• Writing manunoscripts
• Assisting the PI in grant applications
• Presenting findings at national conferences and local seminars/meetings
This job is available immediately, for 2-4 years. Job is open until filled.
Salary will be commensurate with experience and qualifications according to NIH scales.
Candidates should send their CV, statement of research interests, representative publications, and contact information of two references to Sivan Kinreich, email: sivan.kinreich@downstate.edu
SUNY Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and do not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression.
Sivan Kinreich, Ph.D.
Department of Psychiatry
SUNY Downstate Medical Center
450 Clarkson Ave.
Brooklyn, NY 11203
Email: sivan.kinreich@downstate.edu
✔️ @ApplyTime
Dr. Kinreich's group at SUNY Downstate Medical Center investigates the structural and functional neural networks, genetics, and other phenotypes associated with the risk and resilience factors underlying the development of brain diseases. We use advanced machine learning algorithms and are seeking a skilled, motivated, and enthusiastic postdoctoral associate to join the lab.
Please see the Postdoctoral Associate position denoscription and documents for the application.
Best,
Sivan Kinreich
The position:
Education:
Candidates must have a Ph.D. degree (or towards completion) in neuroscience, computational neuroscience, computer science, biology or a related discipline.
Computer and General Skills:
Knowledge of experimental statistics and excellent programming skills is required (Python, Matlab). High-level expertise in neuroimaging analyses is a plus. Previous experience in machine learning analysis and computational modeling is desirable. Takes initiative. Strong communications skills and research productivity as well as the ability to work effectively in a research team.
Duties and Responsibilities:
• Managing and analyzing big data including neuroimaging, genetics, and clinical data
• Writing machine learning programs in Python and Matlab to identify patterns in data
• Writing manunoscripts
• Assisting the PI in grant applications
• Presenting findings at national conferences and local seminars/meetings
This job is available immediately, for 2-4 years. Job is open until filled.
Salary will be commensurate with experience and qualifications according to NIH scales.
Candidates should send their CV, statement of research interests, representative publications, and contact information of two references to Sivan Kinreich, email: sivan.kinreich@downstate.edu
SUNY Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and do not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression.
Sivan Kinreich, Ph.D.
Department of Psychiatry
SUNY Downstate Medical Center
450 Clarkson Ave.
Brooklyn, NY 11203
Email: sivan.kinreich@downstate.edu
✔️ @ApplyTime
👍1
I-Chun Lin <email.bckup@gmail.com>
Fri, Aug 19, 7:15 AM (7 days ago)
to Machine Unsubscribe
The Gatsby Computational Neuroscience Unit invites applications for postdoctoral fellowships in theoretical neuroscience.
Successful applicants will carry out original research under the guidance of a faculty member, primarily on one of these research themes:
- How dynamical computation in neural systems underlies functions ranging from perceptual inference to deliberation, action selection and execution (mentor: Maneesh Sahani).
- Deep learning theory (mentor: Andrew Saxe).
Applications close at the end of August 2022. For detailed information on the roles and how to apply, please visit www.ucl.ac.uk/gatsby/vacancies
About the Gatsby Unit
Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond.
--
I-Chun Lin, PhD
Scientific Programme Manager
Gatsby Computational Neuroscience Unit, UCL
www.ucl.ac.uk/gatsby | @GatsbyUCL
✔️ @ApplyTime
Fri, Aug 19, 7:15 AM (7 days ago)
to Machine Unsubscribe
The Gatsby Computational Neuroscience Unit invites applications for postdoctoral fellowships in theoretical neuroscience.
Successful applicants will carry out original research under the guidance of a faculty member, primarily on one of these research themes:
- How dynamical computation in neural systems underlies functions ranging from perceptual inference to deliberation, action selection and execution (mentor: Maneesh Sahani).
- Deep learning theory (mentor: Andrew Saxe).
Applications close at the end of August 2022. For detailed information on the roles and how to apply, please visit www.ucl.ac.uk/gatsby/vacancies
About the Gatsby Unit
Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond.
--
I-Chun Lin, PhD
Scientific Programme Manager
Gatsby Computational Neuroscience Unit, UCL
www.ucl.ac.uk/gatsby | @GatsbyUCL
✔️ @ApplyTime
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