52 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at University of Michigan
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this position and how you learned about it The start and end dates during which you would be available to fill this position Your familiarity with programming languages (e.g. Stata, Python, R) Your prior
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: Completed a doctoral degree program (MD, PhD, DrPH, EdD, or equivalent) by the starting date. Demonstrated commitment and interest in opioid-related and pain research. Research experience within a relevant
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learning, teaching, and scholarship through application of technologies and knowledge of the latest digital research methods with diverse teams. You will join a network of functional and subject experts
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, i.e., machine learning models explicitly constrained by physical laws (e.g., conservation of mass, momentum, or energy) or designed to integrate physics-based models and data-driven learning
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Apply Now How to Apply Applicants must submit TWO separate applications: one to the President's Postdoctoral Fellowship Program (PPFP) site (http://presidentspostdoc.umich.edu/ppfp-application.php
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designing and testing hypotheses, as well as analyzing data. Required Qualifications* PhD in a recognized field of study related to the position with laboratory experience in cancer biology. Experience in
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environment. Successful candidates will be able to use electrophysiology, neuroimaging, chromatin biochemistry, functional genomics/informatics, and human 2D and 3D neuron models to explore the roles
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participate in a productive research team. Required Qualifications* PhD in a related science area such as epidemiology, biostatistics, neuroscience, cognitive science, psychology, neuropsychology, neurology
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on December 14, 2025. All applicants are required to submit the following: A brief cover letter (max two pages) that includes a summary of the applicant's PhD research and career goals and outlines how an Erb
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applications. Our research program consists of two main thrusts, 1) the development and application of state-of-the-art laser and optical sensing techniques - both on the ground and in flight - to better