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Field
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SPECIFICS The Department of Mathematics in Penn State's Eberly College of Science is seeking a Postdoctoral Scholar beginning August 2026. The successful candidate will work with Professor John Harlim and
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) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques Job Description
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep-learning approaches for insight and analysis about mouse behavior from video * Machine Learning: use your
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. For positions in Applied Mathematics: Applicants are required to have a Ph.D. in Applied Mathematics, Mathematics, Control, Operations Research, Statistics, or a related field. Experience in numerical analysis
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engineering, hydrology, computational sciences, systems modeling, applied mathematics, or a related field. Preferred Qualifications: Demonstrated expertise in quantitative modeling and data analysis
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responsibilities. Responsibilities: The postdoc will work on integrating multiple observational data streams for real-time and retrospective analysis of geophysical and environmental hazards. This includes
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power systems in the CoSES lab at the Technical University of Munich. Previous Work https://mediatum.ub.tum.de/doc/1731060/g5zgxaj96lcyhh8gh6le1xbuu.Wetzlinger-2023-TAC.pdf https://mediatum.ub.tum.de/doc
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profiling. More broadly, this work aims to establish a new experimental framework for spatial multi-omic analysis that complements existing spatial transcriptomics technologies. Responsibilities
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neurodegenerative diseases, neurogenomics, or neuroimaging. Previous experience with neuroimage analysis. This is an exempt position with work expected to be primarily in person and at the University Park Campus
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(GitHub) and AI coding assistants (e.g., Claude Code) Strong mathematical foundation relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis