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. Qualifications: PhD in Chemistry, Biochemistry, Biophysics or a related field by the time of hire is required, along with a strong theoretical or practical background in nuclear magnetic resonance (NMR
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models and data science ideas. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related to urban science
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-scale computational studies. The postdoc will also interact closely with a PhD student working on the behavior of liquids confined by such 2D materials—connecting the research to broader questions in
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of bioproduction and bioremediation. To support this goal, we are looking for a colleague who is independent, who thrives within an interdisciplinary environment at a world-class research centre, and who is highly
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 5 hours ago
study systems will be a plus, but is not necessary. Our offer We offer an interesting job in an open-minded team, a responsible and varied workplace in a growing interdisciplinary and international
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary Dr. Sameer Sheth Laboratory at Baylor College of Medicine is recruiting a Postdoctoral Associate to lead projects studying the neurophysiology
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Département / Department: Unité / Unit : Center for African Studies Université / University: Mohammed VI Polytechnic University About UM6P: Mohammed VI Polytechnic University (UM6P) is a forward
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algorithms. This work will be evaluated through simulations and with physical drones in mock search-and-rescue missions. This position will involve close collaboration with the PhD student at SDU who is
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involves close collaboration with the Department of Architecture, Design, and Media Technology and is part of a larger project involving at least two PhD candidates. The candidate’s workplace will be in
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 25 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological