#N3961
✅ Funded PhD programme; in molecular, cellular and systemic functions of platelets in health and disease; at University Hospital Würzburg; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/pdUFQC
✅ Funded PhD programme; in molecular, cellular and systemic functions of platelets in health and disease; at University Hospital Würzburg; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/pdUFQC
#N3962
✅ Funded for PhD programme; in Object Classification in 3D Point Clouds; at University of the Bundes-wehr Munich; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/Cbz5kY
✅ Funded for PhD programme; in Object Classification in 3D Point Clouds; at University of the Bundes-wehr Munich; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/Cbz5kY
#N3963
✅ Funded for Postdoc programme; in Immunology - Clinical Research, Pediatric Oncology, Hematology; at Universitätsklinikum Düsseldorf; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/Hzb2EK
✅ Funded for Postdoc programme; in Immunology - Clinical Research, Pediatric Oncology, Hematology; at Universitätsklinikum Düsseldorf; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/Hzb2EK
#N3964
✅ Funded for PhD programme; in Sensor Calibration; at University of the Bundeswehr Munich; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/csB3nu
✅ Funded for PhD programme; in Sensor Calibration; at University of the Bundeswehr Munich; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/csB3nu
#N3965
✅ Scholarships for PhD program; in the filed of Molecular Plant Sciences, Genetics, Biochemistry and Bioinformatics; at University of Bonn; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/1sSp2G
✅ Scholarships for PhD program; in the filed of Molecular Plant Sciences, Genetics, Biochemistry and Bioinformatics; at University of Bonn; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/1sSp2G
#N3966
✅ Funded for PhD programme; in Machine Learning for User Modeling and User-Adaptive Interaction; at fortiss GmbH ; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/iYFjXk
✅ Funded for PhD programme; in Machine Learning for User Modeling and User-Adaptive Interaction; at fortiss GmbH ; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/iYFjXk
#N3967
✅ Funded for Postdoc programme; in Immunometabolism; at Sanofi-Aventis Deutschland GmbH; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/zwxRMp
✅ Funded for Postdoc programme; in Immunometabolism; at Sanofi-Aventis Deutschland GmbH; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/zwxRMp
#N3968
✅ Funded for PhD programme; in Metabolic engineering and fermentation; at Fraunhofer-Institut für Molekularbiologie und Angewandte Oekologie IME ; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/sAzWvz
✅ Funded for PhD programme; in Metabolic engineering and fermentation; at Fraunhofer-Institut für Molekularbiologie und Angewandte Oekologie IME ; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/sAzWvz
#N3969
✅ Funded for PhD programme; in Development and application of functional-structural models of root resource uptake from subsoil; at Forschungszentrum Jülich GmbH ; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/P8Eqpq
✅ Funded for PhD programme; in Development and application of functional-structural models of root resource uptake from subsoil; at Forschungszentrum Jülich GmbH ; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/P8Eqpq
#N3970
✅ Funded for PhD degree programme; in the field of Autonomous Driving; at Universität der Bundeswehr München ; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/gY8fWD
✅ Funded for PhD degree programme; in the field of Autonomous Driving; at Universität der Bundeswehr München ; in Germany
⏱ Deadline: #August 11, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/gY8fWD
#N3971
✅ Funded for Postdoc programme; in basic and translational vascular research;at University Hospital Heidelberg; in Germany
⏱ Deadline: #August 10, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/miQyEU
✅ Funded for Postdoc programme; in basic and translational vascular research;at University Hospital Heidelberg; in Germany
⏱ Deadline: #August 10, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/miQyEU
#N3972
✅ Funded for postdoc programme; in Cellular Protein Quality Control; at the Goethe University Frankfurt; in Germany
⏱ Deadline: #August 12, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/r4VdJC
✅ Funded for postdoc programme; in Cellular Protein Quality Control; at the Goethe University Frankfurt; in Germany
⏱ Deadline: #August 12, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/r4VdJC
#N3973
✅ Funded for PhD programme; in Quantitative Analysis of Molecular Oncology; at the UMCG Groningen; in Netherlands
⏱ Deadline: #August 12, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/EudjcJ
✅ Funded for PhD programme; in Quantitative Analysis of Molecular Oncology; at the UMCG Groningen; in Netherlands
⏱ Deadline: #August 12, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/EudjcJ
#N3974
✅ Funded PhD position; in Plant Reproductive Biology; at Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung; in Germany
⏱ Deadline: #August 12, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/LirjYj
✅ Funded PhD position; in Plant Reproductive Biology; at Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung; in Germany
⏱ Deadline: #August 12, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/LirjYj
#N3975
✅ Funded for PhD programme; in Crystallisation of (bio)pharmaceuticals integrated with nanotechnologies and biotechnologies in downstream manufacturing process; at Loughborough University; in UK
⏱ Deadline: #August 12, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/EA1CRq
✅ Funded for PhD programme; in Crystallisation of (bio)pharmaceuticals integrated with nanotechnologies and biotechnologies in downstream manufacturing process; at Loughborough University; in UK
⏱ Deadline: #August 12, 2018
✔️ https://news.1rj.ru/str/ApplyTime
🌐 https://goo.gl/EA1CRq
Research Associate in Quantitative Social Science: Educational Mobility (UCL)
This post represents an exciting opportunity for a quantitative social scientist (e.g. economist, sociologist, social statistician, demographer, social policy) to undertake high-impact research on ‘first in the family students to attend university’. ‘First in Family’ (FiF) refers to students who attend university (and obtain a degree), but whose mother and father did not. This project will be the first large-scale research study on FiF in the UK and will inform national and university level Widening Participation policies.
You will work with Dr Morag Henderson and Dr Nikki Shure on a Nuffield Foundation funded project to examine intergenerational educational mobility. The project involves conducting analysis using Next Steps to identify characteristics of FiF students including academic and non-academic traits compared to their peers who could have been FiF, but who did not achieve a degree, and university students who are not FiF. In addition to this, the project will identify how the FiF measure compares to other markers of disadvantage and analyse the higher education and labour market outcomes of FiF students using Next Steps. The project will also compare the aspirations of potential FiF students from the most recent generation of soon-to-attend university students in the Millennium Cohort Study (MCS) and Longitudinal Study of Young People 2 (LSYPE2) in order to provide first estimates of university aspiration and participation for the next generation.
You will be expected to:
• Conduct high quality research analysis using Next Steps, LSYPE2 and MCS, making use of appropriate advanced quantitative methods
• Contribute to high quality research outputs and policy reports
• Publish research in high quality peer reviewed academic journals
• Present research findings and contribute to workshops, conferences and seminars.
This post is available from 1st October 2018 until 31st March 2020.
Key requirements
Essential
Completion or near-completion of a PhD in a quantitative social science discipline, such as sociology, economics, psychology, social statistics, demography; or with a background in education or other quantitative education-related discipline. Candidates with no PhD, but demonstrating a substantial record of high-quality publications that could be used in submission for a PhD by publication will also be considered. A good understanding of applied quantitative research methods for large-scale [longitudinal] datasets.
Desirable
Expertise in educational research or social inequality research.
Closing date: 14 August, latest submission time is 23.59
Interview date: 5 September
Grade: 7
Contract: Full time
Salary: £34,635 – £41,864 per annum
Location: London
Apply Now
✔️ @ApplyTime
This post represents an exciting opportunity for a quantitative social scientist (e.g. economist, sociologist, social statistician, demographer, social policy) to undertake high-impact research on ‘first in the family students to attend university’. ‘First in Family’ (FiF) refers to students who attend university (and obtain a degree), but whose mother and father did not. This project will be the first large-scale research study on FiF in the UK and will inform national and university level Widening Participation policies.
You will work with Dr Morag Henderson and Dr Nikki Shure on a Nuffield Foundation funded project to examine intergenerational educational mobility. The project involves conducting analysis using Next Steps to identify characteristics of FiF students including academic and non-academic traits compared to their peers who could have been FiF, but who did not achieve a degree, and university students who are not FiF. In addition to this, the project will identify how the FiF measure compares to other markers of disadvantage and analyse the higher education and labour market outcomes of FiF students using Next Steps. The project will also compare the aspirations of potential FiF students from the most recent generation of soon-to-attend university students in the Millennium Cohort Study (MCS) and Longitudinal Study of Young People 2 (LSYPE2) in order to provide first estimates of university aspiration and participation for the next generation.
You will be expected to:
• Conduct high quality research analysis using Next Steps, LSYPE2 and MCS, making use of appropriate advanced quantitative methods
• Contribute to high quality research outputs and policy reports
• Publish research in high quality peer reviewed academic journals
• Present research findings and contribute to workshops, conferences and seminars.
This post is available from 1st October 2018 until 31st March 2020.
Key requirements
Essential
Completion or near-completion of a PhD in a quantitative social science discipline, such as sociology, economics, psychology, social statistics, demography; or with a background in education or other quantitative education-related discipline. Candidates with no PhD, but demonstrating a substantial record of high-quality publications that could be used in submission for a PhD by publication will also be considered. A good understanding of applied quantitative research methods for large-scale [longitudinal] datasets.
Desirable
Expertise in educational research or social inequality research.
Closing date: 14 August, latest submission time is 23.59
Interview date: 5 September
Grade: 7
Contract: Full time
Salary: £34,635 – £41,864 per annum
Location: London
Apply Now
✔️ @ApplyTime
Assistant Professor - History of Science/Medicine, University of Wisconsin
Required Qualifications
• Ph.D. in History, or in a related field with a history emphasis. Degree must be earned by the first personnel review, no later than May 15, 2020.
• Coursework in and evidence of ability to teach courses on History of Science or STS, History of Medicine, or related
fields.
• Evidence of ability to teach World History general education courses.
• Evidence of ability to teach courses in historiography and historical methods, as well as historical research and writing.
• Evidence of ability to start an active program of research.
✔️ @ApplyTime
Required Qualifications
• Ph.D. in History, or in a related field with a history emphasis. Degree must be earned by the first personnel review, no later than May 15, 2020.
• Coursework in and evidence of ability to teach courses on History of Science or STS, History of Medicine, or related
fields.
• Evidence of ability to teach World History general education courses.
• Evidence of ability to teach courses in historiography and historical methods, as well as historical research and writing.
• Evidence of ability to start an active program of research.
✔️ @ApplyTime
employment.uwlax.edu
Assistant Professor - History of Science/Medicine
The Department of History at the University of Wisconsin La Crosse seeks applicants for a tenure-track position at the assistant professor rank in World History and the History of Science, Science and Technology Studies (STS), and/or the History of Medicine…
HSOC SOC Search 2018 final.pdf
104.9 KB
The School of History and Sociology at Georgia Institute of Technology invites applications for a
faculty position at the rank of assistant or associate professor
✔️ @ApplyTime
faculty position at the rank of assistant or associate professor
✔️ @ApplyTime
Postdoc Opportunity at Northwestern University Feinberg School of Medicine
Can machines learn from longitudinal patient records to predict patients' disease progression? Can we automatically discover diagnostic criteria or phenotypes of patients from Electronic Health Records? Can we use the insights obtained from machine learning to suggest new interventions or treatments towards precision medicine?
We are recruiting a postdoctoral fellow in the Division of Health and Biomedical Informatics at Northwestern University’s Feinberg School of Medicine. The postdoctoral fellow is expected to conduct research described above, under guidance from Dr. Yuan Luo, Assistant Professor in Departments of Preventive Medicine and (by courtesy) Industrial Engineering and Management Science, as well as Electrical Engineering and Computer Science. The fellow will also have the opportunities to work closely with top-notch clinicians from Northwestern Memorial Hospital, and strong supporting staff from Northwestern Medicine Enterprise Data Warehouse Team.
The successful candidate will have PhD in EECS, Biomedical Informatics, IEMS, Physics or related fields with solid programming skills. Experiences in some of the following areas are desirable: Machine Learning (ML) and/or Natural Language Processing (NLP) and/or time series analysis. The candidate should demonstrate good communication skills and ability to work in a collaborative environment, to coordinate and supervise part of the research project.
We offer a competitive salary and an initial appointment of 12 months, starting Spring/Fall of 2016-2017. Extension of the postdoctoral position for up to 3 years is possible. Northwestern University is an exceptional research institution that has a world-class medical school and is an emerging hub in biomedical informatics; our department is located in downtown Chicago, one of the most vibrant cities in the US. Be part of a prestigious institution that offers great benefits, and enjoy our lakefront working environment.
Please send your application to Yuan Luo <yuan.luo@northwestern.edu>, which should include:
- Curriculum vitae
- List of publications (attach a copy of one of your strongest papers)
- Contact details for 2 to 3 references
Northwestern University is an Equal Opportunity/Affirmative Action Employer.
✔️ @ApplyTime
Can machines learn from longitudinal patient records to predict patients' disease progression? Can we automatically discover diagnostic criteria or phenotypes of patients from Electronic Health Records? Can we use the insights obtained from machine learning to suggest new interventions or treatments towards precision medicine?
We are recruiting a postdoctoral fellow in the Division of Health and Biomedical Informatics at Northwestern University’s Feinberg School of Medicine. The postdoctoral fellow is expected to conduct research described above, under guidance from Dr. Yuan Luo, Assistant Professor in Departments of Preventive Medicine and (by courtesy) Industrial Engineering and Management Science, as well as Electrical Engineering and Computer Science. The fellow will also have the opportunities to work closely with top-notch clinicians from Northwestern Memorial Hospital, and strong supporting staff from Northwestern Medicine Enterprise Data Warehouse Team.
The successful candidate will have PhD in EECS, Biomedical Informatics, IEMS, Physics or related fields with solid programming skills. Experiences in some of the following areas are desirable: Machine Learning (ML) and/or Natural Language Processing (NLP) and/or time series analysis. The candidate should demonstrate good communication skills and ability to work in a collaborative environment, to coordinate and supervise part of the research project.
We offer a competitive salary and an initial appointment of 12 months, starting Spring/Fall of 2016-2017. Extension of the postdoctoral position for up to 3 years is possible. Northwestern University is an exceptional research institution that has a world-class medical school and is an emerging hub in biomedical informatics; our department is located in downtown Chicago, one of the most vibrant cities in the US. Be part of a prestigious institution that offers great benefits, and enjoy our lakefront working environment.
Please send your application to Yuan Luo <yuan.luo@northwestern.edu>, which should include:
- Curriculum vitae
- List of publications (attach a copy of one of your strongest papers)
- Contact details for 2 to 3 references
Northwestern University is an Equal Opportunity/Affirmative Action Employer.
✔️ @ApplyTime
Postdoc Position at MIT in Machine Learning for Medicine
Dear Colleagues,
Please feel free to distribute the following post-doc announcement to potential candidates.
Massachusetts Institute of Technology's Institute for Medical Engineering & Science (IMES) has an immediate opening for a Postdoctoral Associate in Machine Learning for Medicine. We are seeking a highly-motivated individual to join a multidisciplinary research team to develop machine learning techniques for medicine, physiological dynamics modeling, and treatment decision support. The project offers opportunities to develop/apply novel machine learning and statistical methods to derive actionable insights from heterogeneous observational data from electronic health records, including clinical time series, medication/procedures, physician notes and reports, and physiological signals.
The ideal candidate will have demonstrated an outstanding capability for independent research and a solid publication record in top-tier machine learning, AI conferences. Candidate must hold a Ph.D. degree in Computer Science, Machine Learning, Statistics, or a related field. In addition to a curriculum vitae, applicants should submit a short statement of research interest to Li Lehman, lilehman@mit.edu.
For more details, please see http://web.mit.edu/lilehman/www/postdoc.html
Li-wei Lehman, Ph.D.
Research Scientist
Laboratory for Computational Physiology
Institute for Medical Engineering & Science
Massachusetts Institute of Technology
✔️ @ApplyTime
Dear Colleagues,
Please feel free to distribute the following post-doc announcement to potential candidates.
Massachusetts Institute of Technology's Institute for Medical Engineering & Science (IMES) has an immediate opening for a Postdoctoral Associate in Machine Learning for Medicine. We are seeking a highly-motivated individual to join a multidisciplinary research team to develop machine learning techniques for medicine, physiological dynamics modeling, and treatment decision support. The project offers opportunities to develop/apply novel machine learning and statistical methods to derive actionable insights from heterogeneous observational data from electronic health records, including clinical time series, medication/procedures, physician notes and reports, and physiological signals.
The ideal candidate will have demonstrated an outstanding capability for independent research and a solid publication record in top-tier machine learning, AI conferences. Candidate must hold a Ph.D. degree in Computer Science, Machine Learning, Statistics, or a related field. In addition to a curriculum vitae, applicants should submit a short statement of research interest to Li Lehman, lilehman@mit.edu.
For more details, please see http://web.mit.edu/lilehman/www/postdoc.html
Li-wei Lehman, Ph.D.
Research Scientist
Laboratory for Computational Physiology
Institute for Medical Engineering & Science
Massachusetts Institute of Technology
✔️ @ApplyTime
Bosch Professorship at Faculty of Informatics, Eötvös Loránd University in Budapest, Hungary
ELTE Faculty of Informatics (ELTE FI) in collaboration with Bosch Hungary establishes industry driven, R&D&I oriented research professor status in order to carry out teaching, research, and development in fields of computer science and computer engineering related to autonomous driving technologies, artifical intelligence and deep learning.
ELTE FI is one of the top ranked faculties in computer science in Hungary, having a prominent international standing and strong focus on R&D&I activities. EIT Digital Budapest Group initiated by ELTE is a full Node of EIT Digital. (www.inf.elte.hu, www.elte.hu).
ELTE FI will start a master program "Computer Science for Autonomous Driving" from 2018 in cooperation with Bosch Hungary.
Functions to be carried out:
- Demonstration of an internationally relevant and competitive research programme, meeting defined business requirements and problems.
- Contributing to the Faculty’s general research activities at operational and strategic levels.
- Planning and preparing significant research funding proposals.
- Planning, preparing and delivering effective teaching, supervision and assessment of graduate/postgraduate/PhD students in "Computer Science for Autonomous Systems", "Computer Science" and "Data Science" programs and related research projects.
- Creating synergies between research and education with involvement of students into research activities.
Requirements:
-PhD degree in computer science or computer engineering.
-On the basis of scientific performance ability to obtain habilitated doctor noscript within two years.
-University teaching experience.
-Candidates must have carried out outstanding scientific research in the fields of artifical intelligence, deep learning and related areas, which is proven by research output of a high level in peer-reviewed international publications (journals and/or books), and by results applied by industry, demonstrating a distinguished R&D profile.
-Candidates must have experience in heading up industrial research projects and coaching PhD students.
Starting date for the position is as soon as possible
Salary is Upon agreement. Due to support of Bosch Hungary, the salary of employee will be significantly higher than average salary in Hungary in similar positions.
Type of employment contract: public employee, full-time, 5 years
To apply, please submit the complete application as a ZIP archive to dean@fi.elte.hu
The application must include:
- Cover letter
- CV including a full list of publications
- Scanned copies of your certificates
- Statement of research interest and teaching objectives
- Documentation of additional relevant qualifications according to above specifications
Applications will be accepted until 30 of Aug 2018.
✔️ @ApplyTime
ELTE Faculty of Informatics (ELTE FI) in collaboration with Bosch Hungary establishes industry driven, R&D&I oriented research professor status in order to carry out teaching, research, and development in fields of computer science and computer engineering related to autonomous driving technologies, artifical intelligence and deep learning.
ELTE FI is one of the top ranked faculties in computer science in Hungary, having a prominent international standing and strong focus on R&D&I activities. EIT Digital Budapest Group initiated by ELTE is a full Node of EIT Digital. (www.inf.elte.hu, www.elte.hu).
ELTE FI will start a master program "Computer Science for Autonomous Driving" from 2018 in cooperation with Bosch Hungary.
Functions to be carried out:
- Demonstration of an internationally relevant and competitive research programme, meeting defined business requirements and problems.
- Contributing to the Faculty’s general research activities at operational and strategic levels.
- Planning and preparing significant research funding proposals.
- Planning, preparing and delivering effective teaching, supervision and assessment of graduate/postgraduate/PhD students in "Computer Science for Autonomous Systems", "Computer Science" and "Data Science" programs and related research projects.
- Creating synergies between research and education with involvement of students into research activities.
Requirements:
-PhD degree in computer science or computer engineering.
-On the basis of scientific performance ability to obtain habilitated doctor noscript within two years.
-University teaching experience.
-Candidates must have carried out outstanding scientific research in the fields of artifical intelligence, deep learning and related areas, which is proven by research output of a high level in peer-reviewed international publications (journals and/or books), and by results applied by industry, demonstrating a distinguished R&D profile.
-Candidates must have experience in heading up industrial research projects and coaching PhD students.
Starting date for the position is as soon as possible
Salary is Upon agreement. Due to support of Bosch Hungary, the salary of employee will be significantly higher than average salary in Hungary in similar positions.
Type of employment contract: public employee, full-time, 5 years
To apply, please submit the complete application as a ZIP archive to dean@fi.elte.hu
The application must include:
- Cover letter
- CV including a full list of publications
- Scanned copies of your certificates
- Statement of research interest and teaching objectives
- Documentation of additional relevant qualifications according to above specifications
Applications will be accepted until 30 of Aug 2018.
✔️ @ApplyTime