72 computer-science-programming-languages-"UCL"-"UCL" Postdoctoral positions at Stony Brook University
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to support research groups associated with Institute faculty, in areas such as: ● Machine Learning and Computer Vision ● Natural Language Processing and Data Science ● Biomedical Informatics and
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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(IRACDA) program . This comprehensive program offers 3 years of support to outstanding candidates seeking postdoctoral research training along with an opportunity to obtain mentored teaching experience in a
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, such as Psychology, Cognitive Science, Neuroscience, Biomedical Engineering, Computer Science, Psychiatry, Radiology, and Neurology, or General Medicine. Preferred Qualifications: Prior research experience
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. Participation in professional advocacy activities. Qualifications Required Qualifications: Possession of a Doctorate in Psychology from a program accredited by the American Psychological Association (APA
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. Participation in professional advocacy activities. Qualifications Required Qualifications: Possession of a Doctorate in Psychology from a program accredited by the American Psychological Association (APA
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, such as Psychology, Cognitive Science, Neuroscience, Biomedical Engineering, Computer Science, Psychiatry, Radiology, and Neurology, or General Medicine. Preferred Qualifications: Prior research experience
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. Experience with the study of elliptic curves, and in Galois theory, difference equations, and algebraic geometry. Education in computer science and applied math. Preferred Qualifications: Teaching competitive
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motivated candidates for postdoctoral fellow related to chronic kidney disease. Our research program focuses on identifying mechanisms involved in the progression of chronic kidney disease. Specifically, we