🇺🇸 Ph.D. Research Assistant in Fruit Biology/Postharvest Spring/Fall 2024, University of Maryland, Department of Plant Sciences, College Park
The Fruit Quality Lab in the Department of Plant Sciences at the University of Maryland, College Park is inviting applications for a PhD research assistant to start Spring/Fall 2024.
The selected candidate will work on unraveling the key mechanisms involved in the development of physiological disorders in apples, using multidisciplinary approaches. Full scholarship will be provided including competitive stipend, tuition and fringe benefits.
Qualifications: Applicants should have a B.S. and/or M.S. in plant science, horticulture, plant molecular biology, plant biochemistry, food science or another related field of study. Experience in standard molecular biology and biochemical techniques, data analysis, and background in fruit crops are essential. Experience with analytical chemistry is a plus. The successful candidates should possess excellent writing and communication skills. The candidate will be organized, creative, and excited about working independently and in a collaborative group environment.
Application: Please send the following documents to Dr. Macarena Farcuh (mfarcuh@umd.edu): (a) Curriculum vitae, (b) Letter of Intent, (c) Copy of trannoscripts, (d) Names & Contact Information of 3 references.
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The Fruit Quality Lab in the Department of Plant Sciences at the University of Maryland, College Park is inviting applications for a PhD research assistant to start Spring/Fall 2024.
The selected candidate will work on unraveling the key mechanisms involved in the development of physiological disorders in apples, using multidisciplinary approaches. Full scholarship will be provided including competitive stipend, tuition and fringe benefits.
Qualifications: Applicants should have a B.S. and/or M.S. in plant science, horticulture, plant molecular biology, plant biochemistry, food science or another related field of study. Experience in standard molecular biology and biochemical techniques, data analysis, and background in fruit crops are essential. Experience with analytical chemistry is a plus. The successful candidates should possess excellent writing and communication skills. The candidate will be organized, creative, and excited about working independently and in a collaborative group environment.
Application: Please send the following documents to Dr. Macarena Farcuh (mfarcuh@umd.edu): (a) Curriculum vitae, (b) Letter of Intent, (c) Copy of trannoscripts, (d) Names & Contact Information of 3 references.
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🇳🇱 PhD Position, National Institute for Public Health and the Environment, Netherlands
• Epidemiology
• Behavioral Science
• Public Health
• Infectious Disease Research
• Social Sciences
• Health Sciences
• Related interdisciplinary fields
https://www.werkenvoornederland.nl/vacatures/phd-behavioural-science-and-infectious-disease-epidemiology-RIVM-2023-0267
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• Epidemiology
• Behavioral Science
• Public Health
• Infectious Disease Research
• Social Sciences
• Health Sciences
• Related interdisciplinary fields
https://www.werkenvoornederland.nl/vacatures/phd-behavioural-science-and-infectious-disease-epidemiology-RIVM-2023-0267
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🇺🇸 PhD Position, University of Arizona, USA
• Mechanical Engineering
• Materials Engineering
• Al/ML (Artificial Intelligence and Machine Learning) for advanced materials development
• ML-guided experiments
• Autonomous and robotic experimentation
• Python expertise
• Experience with LabVIEW and MATLAB
• Electrochemistry (optional but a plus)
• Materials characterization (optional but a plus)
👨🏫 Dr. Majid Beidaghi:
I have an opening for a postdoctoral researcher to join my group at the University of Arizona, starting in Spring 2024 or sooner. We are looking for a highly motivated individual with a PhD in Mechanical Engineering, Materials Engineering, or a related field, and a track record of published research in Al/ML for advanced materials development, ML-guided experiments, or autonomous and robotic experimentation. The candidate should be an expert in Python and experienced with LabVIEW and MATLAB. While not required, experience in electrochemistry or materials characterization will be a plus. The role offers a chance to contribute to a funded, high-impact project on materials discovery and novel manufacturing process development. If you're interested and feel qualified, please reach out to me at beidaghi@arizona.edu for more details about this opportunity.
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• Mechanical Engineering
• Materials Engineering
• Al/ML (Artificial Intelligence and Machine Learning) for advanced materials development
• ML-guided experiments
• Autonomous and robotic experimentation
• Python expertise
• Experience with LabVIEW and MATLAB
• Electrochemistry (optional but a plus)
• Materials characterization (optional but a plus)
👨🏫 Dr. Majid Beidaghi:
I have an opening for a postdoctoral researcher to join my group at the University of Arizona, starting in Spring 2024 or sooner. We are looking for a highly motivated individual with a PhD in Mechanical Engineering, Materials Engineering, or a related field, and a track record of published research in Al/ML for advanced materials development, ML-guided experiments, or autonomous and robotic experimentation. The candidate should be an expert in Python and experienced with LabVIEW and MATLAB. While not required, experience in electrochemistry or materials characterization will be a plus. The role offers a chance to contribute to a funded, high-impact project on materials discovery and novel manufacturing process development. If you're interested and feel qualified, please reach out to me at beidaghi@arizona.edu for more details about this opportunity.
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🇺🇸 Spring 2024 PhD Position at Texas Tech University
• Mechanical Engineering
• Electrical Engineering
• Chemical Engineering
• Materials Science
• Chemistry
• Physics
• Related fields in engineering and physical sciences
One PhD position is available in the Ahmad Materials and Energy Research Group
(AMERG) in the Mechanical Engineering Department at Texas Tech University starting in Jan 2024. AMERG is dedicated to fundamental material discoveries and developing innovative tools to accelerate the transition to renewable energy.
This opening is for computational research at the interface between materials and machine learning. The selected candidate will work with Dr. Zeeshan Ahmad on the following topics:
Development and implementation of machine learning interatomic potentials for simulating long-range interactions in periodic systems
First-principles method development and simulations of semiconductors and battery materials
More information about research and publications can be found at ahzeeshan.github.io/.
Required qualifications
A bachelor's or master's degree in mechanical/electrical/chemical engineering, materials science, chemistry, physics, or a related field
Strong programming skills and experience in one or more of Python, C++, MAT-LAB, Fortran, Julia. Ideal candidates will have experience with machine learning libraries such as PyTorch, TensorFlow, JAX, scikit-learn.
Strong mathematical background and analytical skills
Interest in materials and methods for energy sustainability and decarbonization
Interested candidates should apply to the PhD program in Mechanical Engineering at Texas Tech University using this link: https://www.depts.ttu.edu/gradschool/admissions/howtoapply.php and email Dr. Ahmad at zeeahmad@ttu. edu with their
CV and trannoscript using the subject "PhD-Spring24-ML. Applications will be reviewed immediately upon receipt. Applications from underrepresented minorities are encour-aged. Texas Tech is classified as an RI research institution (very high research activity) by the Carnegie Classification of Institutions of Higher Education.
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• Mechanical Engineering
• Electrical Engineering
• Chemical Engineering
• Materials Science
• Chemistry
• Physics
• Related fields in engineering and physical sciences
One PhD position is available in the Ahmad Materials and Energy Research Group
(AMERG) in the Mechanical Engineering Department at Texas Tech University starting in Jan 2024. AMERG is dedicated to fundamental material discoveries and developing innovative tools to accelerate the transition to renewable energy.
This opening is for computational research at the interface between materials and machine learning. The selected candidate will work with Dr. Zeeshan Ahmad on the following topics:
Development and implementation of machine learning interatomic potentials for simulating long-range interactions in periodic systems
First-principles method development and simulations of semiconductors and battery materials
More information about research and publications can be found at ahzeeshan.github.io/.
Required qualifications
A bachelor's or master's degree in mechanical/electrical/chemical engineering, materials science, chemistry, physics, or a related field
Strong programming skills and experience in one or more of Python, C++, MAT-LAB, Fortran, Julia. Ideal candidates will have experience with machine learning libraries such as PyTorch, TensorFlow, JAX, scikit-learn.
Strong mathematical background and analytical skills
Interest in materials and methods for energy sustainability and decarbonization
Interested candidates should apply to the PhD program in Mechanical Engineering at Texas Tech University using this link: https://www.depts.ttu.edu/gradschool/admissions/howtoapply.php and email Dr. Ahmad at zeeahmad@ttu. edu with their
CV and trannoscript using the subject "PhD-Spring24-ML. Applications will be reviewed immediately upon receipt. Applications from underrepresented minorities are encour-aged. Texas Tech is classified as an RI research institution (very high research activity) by the Carnegie Classification of Institutions of Higher Education.
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🇺🇸 PhD Position, Syracuse University, USA
• Exercise Physiology
• Kinesiology
• Neuromuscular Physiology
• Gerontology
• Biomechanics
• Rehabilitation Sciences
• Related fields in physiology and aging studies
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7126732280559001600-80dQ?utm_source=share&utm_medium=member_ios
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• Exercise Physiology
• Kinesiology
• Neuromuscular Physiology
• Gerontology
• Biomechanics
• Rehabilitation Sciences
• Related fields in physiology and aging studies
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7126732280559001600-80dQ?utm_source=share&utm_medium=member_ios
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🇺🇸 PhD Position, Lehigh University, USA
• Psychology
• Social Work
• Counseling
• Public Health
• Sociology
• Health Services Administration
• Social Sciences
• Community Health
• Mental Health Counseling
👩🏫 Dr. Vanesa Mora Ringle:
I will be reviewing applications to potentially accept a third (😮😎) PhD student into my lab in the Counseling Psych program
You can find more about our lab here:
https://www.healtogetherlab.org/
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• Psychology
• Social Work
• Counseling
• Public Health
• Sociology
• Health Services Administration
• Social Sciences
• Community Health
• Mental Health Counseling
👩🏫 Dr. Vanesa Mora Ringle:
I will be reviewing applications to potentially accept a third (😮😎) PhD student into my lab in the Counseling Psych program
You can find more about our lab here:
https://www.healtogetherlab.org/
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🇺🇸 PhD Position, New York University, USA
• Computer Science
• Computer Engineering
• Data Science
• Artificial Intelligence
• Electrical Engineering
• Statistics
• Mathematics
• Cognitive Science
• Neuroscience
• Biomedical Engineering
• Physics (for applications in sciences)
• Medicine (for applications in medicine)
• Any related interdisciplinary fields with an emphasis on machine learning and deep learning
https://www.linkedin.com/posts/azarapply_pavel-izmailov-activity-7126872145237819392-35U-?utm_source=share&utm_medium=member_ios
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• Computer Science
• Computer Engineering
• Data Science
• Artificial Intelligence
• Electrical Engineering
• Statistics
• Mathematics
• Cognitive Science
• Neuroscience
• Biomedical Engineering
• Physics (for applications in sciences)
• Medicine (for applications in medicine)
• Any related interdisciplinary fields with an emphasis on machine learning and deep learning
https://www.linkedin.com/posts/azarapply_pavel-izmailov-activity-7126872145237819392-35U-?utm_source=share&utm_medium=member_ios
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🇨🇦 PhD/MSc Position, University of Victoria, Canada
☑️ Medical Physics
http://web.uvic.ca/~bazalova/
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☑️ Medical Physics
http://web.uvic.ca/~bazalova/
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🇨🇦 PhD/MSc Position, Toronto Metropolitan University, Canada
- Image guided therapy: Minimally invasive interventions
- Medical imaging
- Medical systems and devices
- Medical robotics
- Mechatronics
👨🏫 Dr. Ali Tavallaei:
I am happy to announce that we have several new graduate student positions available in Biomedical Engineering at my lab at Toronto Metropolitan University.
If you are passionate about BME research and would like to continue your studies and make an impact in the field by working on advanced medical device technology, medical robotics, imaging instrumentation, and image-guided therapy, please contact me at ali.tavallaei@torontomu.ca.
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- Image guided therapy: Minimally invasive interventions
- Medical imaging
- Medical systems and devices
- Medical robotics
- Mechatronics
👨🏫 Dr. Ali Tavallaei:
I am happy to announce that we have several new graduate student positions available in Biomedical Engineering at my lab at Toronto Metropolitan University.
If you are passionate about BME research and would like to continue your studies and make an impact in the field by working on advanced medical device technology, medical robotics, imaging instrumentation, and image-guided therapy, please contact me at ali.tavallaei@torontomu.ca.
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🇺🇸 PhD/Postdoctoral Position, University of Houston, USA
• Computer Science
• Geography
• Geospatial Sciences
• Remote Sensing
• Machine Learning
• Image Analysis
• Geospatial Engineering
• Environmental Science
• Data Science
https://www.linkedin.com/posts/azarapply_saurabh-prasad-activity-7127013855758532608-oywC?utm_source=share&utm_medium=member_ios
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• Computer Science
• Geography
• Geospatial Sciences
• Remote Sensing
• Machine Learning
• Image Analysis
• Geospatial Engineering
• Environmental Science
• Data Science
https://www.linkedin.com/posts/azarapply_saurabh-prasad-activity-7127013855758532608-oywC?utm_source=share&utm_medium=member_ios
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☑️ همه این پوزیشن ها و کلی پوزیشن دیگه رو در پیج لینکدین آذراپلای ببینین
https://www.linkedin.com/company/azarapply/
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🇨🇦 PhD/MSc Position, University of Ottawa, Canada
• Biochemistry
• Molecular Biology
• Microbiology
• Cell Biology
• Biotechnology
• Genetics
• Life Sciences
• Biological Sciences
• Biomedical Sciences
👨🏫 Dr. Michael Downey:
Still recruiting grad students for Jan or May to work on projects related to polyphosphate biology & lysine acetylation (yeast, bacteria, human cells). Please pass along to anyone who might be interested!
https://www.thedowneylab.org/
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• Biochemistry
• Molecular Biology
• Microbiology
• Cell Biology
• Biotechnology
• Genetics
• Life Sciences
• Biological Sciences
• Biomedical Sciences
👨🏫 Dr. Michael Downey:
Still recruiting grad students for Jan or May to work on projects related to polyphosphate biology & lysine acetylation (yeast, bacteria, human cells). Please pass along to anyone who might be interested!
https://www.thedowneylab.org/
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🇺🇸 PhD Position, University of Utah, USA
• Physics
• Thermal Sciences
• Engineering (with a focus on thermal or materials science)
• Computational Science
• Materials Science
• Mechanical Engineering
• Chemical Engineering
• Computer Science (especially with a focus on machine learning)
👨🏫 Dr. Tianli Feng:
We are actively seeking PhD candidates with a robust background and keen interest in physics, thermal sciences, and programming. Ideal applicants will possess strong foundations in one or more of the following areas:
Heat Transfer, Thermodynamics, Statistical Physics, Molecular Dynamics Simulations
Solid State Physics, Phonon and/or Electron Transport, Quantum Mechanics,
Finite element simulations of heat transfer (COMSOL or ANSYS), Machine Learning
Our lab offers a dynamic research environment that is perfect for dedicated individuals eager to advance in these cutting-edge fields. If you are driven and prepared to contribute to pioneering research, we encourage you to apply.
See more details at
https://Inkd.in/gWGGFuxM
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• Physics
• Thermal Sciences
• Engineering (with a focus on thermal or materials science)
• Computational Science
• Materials Science
• Mechanical Engineering
• Chemical Engineering
• Computer Science (especially with a focus on machine learning)
👨🏫 Dr. Tianli Feng:
We are actively seeking PhD candidates with a robust background and keen interest in physics, thermal sciences, and programming. Ideal applicants will possess strong foundations in one or more of the following areas:
Heat Transfer, Thermodynamics, Statistical Physics, Molecular Dynamics Simulations
Solid State Physics, Phonon and/or Electron Transport, Quantum Mechanics,
Finite element simulations of heat transfer (COMSOL or ANSYS), Machine Learning
Our lab offers a dynamic research environment that is perfect for dedicated individuals eager to advance in these cutting-edge fields. If you are driven and prepared to contribute to pioneering research, we encourage you to apply.
See more details at
https://Inkd.in/gWGGFuxM
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🇺🇸 PhD Position, University of Central Florida, USA
• Computer Science
• Mathematics
• Artificial Intelligence
• Data Science
• Computer Vision
• Machine Learning
• Algorithms
• Computational Mathematics
https://www.linkedin.com/posts/azarapply_ucf-ucfaii-ucfcrcv-activity-7127249353370443777-zkuH?utm_source=share&utm_medium=member_ios
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• Computer Science
• Mathematics
• Artificial Intelligence
• Data Science
• Computer Vision
• Machine Learning
• Algorithms
• Computational Mathematics
https://www.linkedin.com/posts/azarapply_ucf-ucfaii-ucfcrcv-activity-7127249353370443777-zkuH?utm_source=share&utm_medium=member_ios
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🇺🇸 PhD Position, Rutgers University, USA
☑️ aerospace engineering, mechanical engineering, electrical engineering, applied mathematics, automation, space science, or closely related fields
https://www.linkedin.com/posts/azarapply_x-bai-research-group-activity-7127559630607515648-B8cY?utm_source=share&utm_medium=member_ios
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☑️ aerospace engineering, mechanical engineering, electrical engineering, applied mathematics, automation, space science, or closely related fields
https://www.linkedin.com/posts/azarapply_x-bai-research-group-activity-7127559630607515648-B8cY?utm_source=share&utm_medium=member_ios
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🇺🇸 Graduate Research Assistantship (MS or PhD in The Ohio State University Stormwater Management Program
☑️ Biological and Agricultural Engineering, Civil Engineering, Environmental Engineering, or Environmental Science, or related field
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7127563397340012545-cP9O?utm_source=share&utm_medium=member_ios
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☑️ Biological and Agricultural Engineering, Civil Engineering, Environmental Engineering, or Environmental Science, or related field
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7127563397340012545-cP9O?utm_source=share&utm_medium=member_ios
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🇨🇦 PhD/Postdoctoral Position, University of Saskatchewan, Canada
• Ornithology
• Wildlife Biology
• Ecology
• Population Dynamics
• Environmental Science
• Data Science
• Conservation Biology
• Animal Behavior
• GPS and Geospatial Analysis
• Environmental Modeling
• Avian Research
• Wildlife Management
• Statistical Analysis
• Wildlife Conservation
• Environmental Research
https://www.linkedin.com/posts/azarapply_phdpostdoctoral-position-university-activity-7127569251749539840-L7eI?utm_source=share&utm_medium=member_ios
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• Ornithology
• Wildlife Biology
• Ecology
• Population Dynamics
• Environmental Science
• Data Science
• Conservation Biology
• Animal Behavior
• GPS and Geospatial Analysis
• Environmental Modeling
• Avian Research
• Wildlife Management
• Statistical Analysis
• Wildlife Conservation
• Environmental Research
https://www.linkedin.com/posts/azarapply_phdpostdoctoral-position-university-activity-7127569251749539840-L7eI?utm_source=share&utm_medium=member_ios
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🇺🇸 PhD Position, Texas A&M University, USA
• Gerontology
• Biomechanics
• Exercise Science
• Physiology
• Kinesiology
• Rehabilitation Science
• Biomedical Engineering
• Data Science
• Research Methodology
• Clinical Research
• Nonlinear Dynamics
• Aging Studies
• Health Sciences
https://www.linkedin.com/posts/azarapply_phd-position-texas-am-university-activity-7127574544122322944-b_GQ?utm_source=share&utm_medium=member_ios
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• Gerontology
• Biomechanics
• Exercise Science
• Physiology
• Kinesiology
• Rehabilitation Science
• Biomedical Engineering
• Data Science
• Research Methodology
• Clinical Research
• Nonlinear Dynamics
• Aging Studies
• Health Sciences
https://www.linkedin.com/posts/azarapply_phd-position-texas-am-university-activity-7127574544122322944-b_GQ?utm_source=share&utm_medium=member_ios
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🇫🇷 PhD Position, University of Strasbourg, France
• Computer Science
• Biomedical Engineering
• Robotics
• Artificial Intelligence
• Computer Graphics
• Image Processing
• Optimization Techniques
• Augmented Reality
• Machine Learning
• Medical Imaging
• Clinical Engineering
• Interdisciplinary Applied Research
The ICube Institute of the University of Strasbourg, is opening one PhD position, starting Jan/Feb 2024, in Strasbourg, France.
Denoscription
The general framework of the research project is computer assistance to preoperative surgical planning, for an optimal placement of flexible needles.
The PhD project focuses on Al-assisted needle interventions using the new articulated «ARC needle», to develop methods dedicated to flexible needles and non-linear trajectories. It aims to facilitate their use by surgeons, promote their deployment and adoption in hospitals, and ultimately pave the way for robotic-assisted insertion to improve efficacy and performance. It will cover both automated preoperative planning of one or more articulated needle trajectories, and intraoperative real-time trajectory correction using augmented reality.
Work environment
With over 700 members, ICube is a major driving force for research in Strasbourg that gathers researchers from the University of Strasbourg, the French National Center for Scientific Research (CNRS), and the University Hospital. Biomedical engineering is one of its two main areas of application. The IMAGeS team is a multinational research group of around 30 members (academic, post-doc, PhDs and graduate students), with a strong track record in biomedical engineering and AI, and more particularly image processing, computer vision, graphics, and computer-assisted surgery. The lab offers a dynamic, challenging, and cooperative research environment, in close collaboration with clinicians from the university hospital. It is located in Strasbourg, a lively, green and cosmopolitan city, home of the European parliament and located in the heart of Europe. The work will be done in collaboration with the IHU Institute Strasbourg, and the RDH (Robotics) and MLMS (Biomedical Engineering) groups of the ICube institute.
Oualification and skills
We are looking for dynamic and motivated candidates with an MSc degree in Computer Science or equivalent. Strong programming skills in python and/or C++ are required. Knowledge and experience with computer graphics, image processing, optimization techniques, augmented reality, or related fields as well as advanced machine learning approaches such as deep learning is an advantage. You should be able to work in a multi-disciplinary team, interested in interdisciplinary applied research, and have a good oral and written proficiency in English.
Strong theoretical skills and affinity with experimental work are required.
Information and application
Please send a long CV, motivation letter, academic trannoscripts in English or French with ranking information, and contact information of at least 2 people who can recommend you before Dec 1st, 2023, to Pr. Caroline Essert essert@unistra. fr, Dr. Lennart Rubbert lennart.rubbert@insa-strasbourg.fr, and Dr. Juan Verde juan. verde@ihu-strasbourg.eu.
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• Computer Science
• Biomedical Engineering
• Robotics
• Artificial Intelligence
• Computer Graphics
• Image Processing
• Optimization Techniques
• Augmented Reality
• Machine Learning
• Medical Imaging
• Clinical Engineering
• Interdisciplinary Applied Research
The ICube Institute of the University of Strasbourg, is opening one PhD position, starting Jan/Feb 2024, in Strasbourg, France.
Denoscription
The general framework of the research project is computer assistance to preoperative surgical planning, for an optimal placement of flexible needles.
The PhD project focuses on Al-assisted needle interventions using the new articulated «ARC needle», to develop methods dedicated to flexible needles and non-linear trajectories. It aims to facilitate their use by surgeons, promote their deployment and adoption in hospitals, and ultimately pave the way for robotic-assisted insertion to improve efficacy and performance. It will cover both automated preoperative planning of one or more articulated needle trajectories, and intraoperative real-time trajectory correction using augmented reality.
Work environment
With over 700 members, ICube is a major driving force for research in Strasbourg that gathers researchers from the University of Strasbourg, the French National Center for Scientific Research (CNRS), and the University Hospital. Biomedical engineering is one of its two main areas of application. The IMAGeS team is a multinational research group of around 30 members (academic, post-doc, PhDs and graduate students), with a strong track record in biomedical engineering and AI, and more particularly image processing, computer vision, graphics, and computer-assisted surgery. The lab offers a dynamic, challenging, and cooperative research environment, in close collaboration with clinicians from the university hospital. It is located in Strasbourg, a lively, green and cosmopolitan city, home of the European parliament and located in the heart of Europe. The work will be done in collaboration with the IHU Institute Strasbourg, and the RDH (Robotics) and MLMS (Biomedical Engineering) groups of the ICube institute.
Oualification and skills
We are looking for dynamic and motivated candidates with an MSc degree in Computer Science or equivalent. Strong programming skills in python and/or C++ are required. Knowledge and experience with computer graphics, image processing, optimization techniques, augmented reality, or related fields as well as advanced machine learning approaches such as deep learning is an advantage. You should be able to work in a multi-disciplinary team, interested in interdisciplinary applied research, and have a good oral and written proficiency in English.
Strong theoretical skills and affinity with experimental work are required.
Information and application
Please send a long CV, motivation letter, academic trannoscripts in English or French with ranking information, and contact information of at least 2 people who can recommend you before Dec 1st, 2023, to Pr. Caroline Essert essert@unistra. fr, Dr. Lennart Rubbert lennart.rubbert@insa-strasbourg.fr, and Dr. Juan Verde juan. verde@ihu-strasbourg.eu.
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🇺🇸 پوزیشن دکتری در دانشگاه میشیگان تک در زمینه های زیر:
• Automotive Engineering
• Mechanical Engineering
• Electrical Engineering
• Control Engineering
• Robotics
• Systems Engineering
• Mechatronics
• Autonomous Systems
• Transportation Engineering
• Smart Mobility
• Computer Science (with a focus on control systems)
☑️ پیام یکی از اعضای کانال
من دانشجو این دانشگاه هستم و این پوزیشن به ایمیل دانشگاهیمون اومده. البته علاقشون به اینه که دانشجوی همینجا رو بگیرن ولی شما بزارید بچه ها اپلای کنن. شاید به کار یکی اومد. من خودم پوزیشنم رو از کانال شما پیدا کردم و خواستم ادای دینی کرده باشم و کمکی کرده باشم به بچه ها تو این مسیر
Hello,
Dr. Bo Chen is recruiting a PhD student for control development in Automotive Engineering and Smart Mobility. Interested students please contact Dr. Chen at bochen@mtu.edu with attachments of your resume
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• Automotive Engineering
• Mechanical Engineering
• Electrical Engineering
• Control Engineering
• Robotics
• Systems Engineering
• Mechatronics
• Autonomous Systems
• Transportation Engineering
• Smart Mobility
• Computer Science (with a focus on control systems)
☑️ پیام یکی از اعضای کانال
من دانشجو این دانشگاه هستم و این پوزیشن به ایمیل دانشگاهیمون اومده. البته علاقشون به اینه که دانشجوی همینجا رو بگیرن ولی شما بزارید بچه ها اپلای کنن. شاید به کار یکی اومد. من خودم پوزیشنم رو از کانال شما پیدا کردم و خواستم ادای دینی کرده باشم و کمکی کرده باشم به بچه ها تو این مسیر
Hello,
Dr. Bo Chen is recruiting a PhD student for control development in Automotive Engineering and Smart Mobility. Interested students please contact Dr. Chen at bochen@mtu.edu with attachments of your resume
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🇧🇪 PhD Position, KU Leuven, Belgium
• Physics
• Chemistry
• Nanoscience
• Nanotechnology
• Chemical Engineering
• Electrical Engineering
• Biomedical Engineering
• Biochemistry
• Biophysics
• Material Science
• Biology
• Tissue Engineering
• Bioprinting
• Biotechnology
• Nanomedicine
• Position: PhD Research Opportunity
• Institution: KU Leuven, Belgium
• Research Focus: Nanocomposite Hydrogels for Tissue Engineering
• Supervisors: Prof. Carmen Bartic (Nanobiophysics team), Prof. Wim Thielemans (Sustainable Materials lab), Prof. Heidi Declerca (Tissue engineering team)
• Project Denoscription: Developing dynamic biomaterials with functional nanoparticles to support cell growth and viability, studying optical modulation of local matrix and cell properties, focusing on muscle and vasculature formation.
• Qualifications: Master’s degree in (bio)physics, (bio)chemistry, nanoscience, nanotechnology, or engineering, distinguished academic record, interest in nanotechnology applications in biology and medicine, motivation, ambition, creativity, and good communication skills.
• Offer: 4-year full-time doctorate scholarship, dynamic academic environment, research expertise, technical and soft skills development, participation in scientific events, and interaction with leading researchers.
• Application Deadline: October 30, 2023
• Contact: Prof. Carmen Bartic (carmen.bartic@kuleuven.be)
• Application Link: Online Application Tool: http://www.kuleuven.be/eapplyingforjobs/light/60234057
• Location: Leuven, Belgium
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• Physics
• Chemistry
• Nanoscience
• Nanotechnology
• Chemical Engineering
• Electrical Engineering
• Biomedical Engineering
• Biochemistry
• Biophysics
• Material Science
• Biology
• Tissue Engineering
• Bioprinting
• Biotechnology
• Nanomedicine
• Position: PhD Research Opportunity
• Institution: KU Leuven, Belgium
• Research Focus: Nanocomposite Hydrogels for Tissue Engineering
• Supervisors: Prof. Carmen Bartic (Nanobiophysics team), Prof. Wim Thielemans (Sustainable Materials lab), Prof. Heidi Declerca (Tissue engineering team)
• Project Denoscription: Developing dynamic biomaterials with functional nanoparticles to support cell growth and viability, studying optical modulation of local matrix and cell properties, focusing on muscle and vasculature formation.
• Qualifications: Master’s degree in (bio)physics, (bio)chemistry, nanoscience, nanotechnology, or engineering, distinguished academic record, interest in nanotechnology applications in biology and medicine, motivation, ambition, creativity, and good communication skills.
• Offer: 4-year full-time doctorate scholarship, dynamic academic environment, research expertise, technical and soft skills development, participation in scientific events, and interaction with leading researchers.
• Application Deadline: October 30, 2023
• Contact: Prof. Carmen Bartic (carmen.bartic@kuleuven.be)
• Application Link: Online Application Tool: http://www.kuleuven.be/eapplyingforjobs/light/60234057
• Location: Leuven, Belgium
🏛 آذراپلای: مرجع تحصیل در خارج
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