1,469 programming-"https:"-"https:"-"https:"-"Washington-University-in-St" Postdoctoral positions
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optimal control theory. Proficiency in programming languages (Python, MATLAB) and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in data-driven modeling, deep learning, and
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Assessment (HTA) Programme. This post will be based in the Department of Primary Care and Mental Health within the Global Mental Health Research Group and the Liverpool Review and Implementation Group (LRIG
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research resource for the department, ensuring reliable study execution and operational support for faculty research. In parallel, the postdoc will advance their own research program and collaborate with
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outline (uio.no), stating research questions and theoretical and methodological approaches that will further the goals of the project. The project description must present a feasible progress plan. It is
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program in the realm of quantum mathematics and to interact with the other faculty and students in the group. Preference will be given to candidates who have a track record of high-quality research in
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and verbal communication skills are also required. Specific Duties: ● Plan experiments and technical requirements, prepare and test specimens. ● Analyze data and present the results at various
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. Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries. Research Excellence: Proven track record
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will have demonstrated experience working with large and complex datasets, including collection, management, analysis, and communication. Strong programming skills (R, Python, or similar) and a solid
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comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
Electrochemical Methanation Initiative, a large collaborative research program funded by the Novo Nordisk Foundation (50 million DKK) with academic partners at DTU Biosustain, Aarhus University (CORC and Biology