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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Position Title Post-Doc Research Associate Vacancy ID PDS004558 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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to societal challenges Value conflicts and tensions in the life sciences and its different epistemic cultures and evaluative principles and practices. Applicants should read and relate to the more detailed
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tomography and single-photon emission computed tomography. We are a highly interdisciplinary and international team closely working together with colleagues from different medical universities, biomedical
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instance. It contains two elements funded from different projects, both of which are qualitative, and both on welfare experiences and mental health. Firstly, the post-holder will be the lead UK qualitative
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, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity with an aim
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. For more information about the total announced post-doctoral positions within
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, molecular biology, and/or computational analyses. The postdoc will have the opportunity to guide the research of an undergraduate research assistant, if desired. Mentorship is a core mission of the Oldenburg
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of Antwerp is seeking a post-doctoral candidate willing to write a research proposal on the topic of Classification of Online Multimodal Data. The position is embedded in the Computational Linguistics branch