33 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Pennsylvania State University
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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine
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: PhD in Biology, Neuroscience, Systems Biology, or a related field with a focus on neurodevelopment, transcriptomics, or systems biology. Strong background in mouse models and neurodevelopmental
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. Candidates must have a PhD in MatSE and experience in developing phase-field models of microstructures and properties by start date. This term position is funded for one year from the date of hire with
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resonance spectroscopy applied to investigate post-translational modifications of intrinsically disordered proteins. The position requires a PhD in chemistry with a focus on spectroscopy applied
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project management. This position requires a PhD in nematology (preferred), forestry, plant pathology, microbiology, microbial ecology, or a related field. Competitive candidates must have significant
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, self-driven, collaborative, skilled young microscopist with a PhD in materials science, physics, chemistry, or a related field that has a thorough background in aberration-corrected scanning/transmission
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-tenure track, term, Postdoctoral appointments are committed for three years with a contract renewal occurring each year. Duties for this position include research and teaching. The Chowla program is
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SPECIFICS The Department of Learning and Performance Systems in the College of Education at Penn State University invites applications for multiple Teaching-Focused Postdoctoral Scholar positions
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written skills, a passion for learning, and the ability to solve problems independently in a diverse scientific landscape. As a key member of our team, you will have the opportunity to contribute to cutting
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SPECIFICS Postdoctoral Researcher in Defect Modeling The Pennsylvania State University Department of Nuclear Engineering The Computational Nuclear Materials Group (https://sites.psu.edu/cnmg/ ) at Penn State