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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
with graduate students, other postdoctoral associates, software engineers and faculty who are involved in the project. The selected candidate will develop software codes in a secure cloud-based environment
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theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical
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principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses to support strategic
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Department Name PHARMACOLOGY Location Code PHARMACOLOGY (06230A) Is this split and/or fully grant funded? Yes Duties and Responsibilities The Department of Molecular Pharmacology and Neuroscience at the Loyola
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Hanyang University, Department of Physics Fellowship ID: Hanyang University -Department of Physics -POSTDOC [#29743] Fellowship Title: Postdoctoral Fellowships in Condensed Matter Theory Location
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candidate will contribute to project planning and lead efforts related to codebook review, variable coding, statistical analyses, and manuscript writing. Strong writing skills are essential, along with
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, including experience with version control (e.g. Git), issue tracking, and code review. A track record of first-author publications in top peer-reviewed journals or conferences. Preferred: Previous experience
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existing theories and methods. They will assist the supervisor in the interpretation and publication of results and grants. Furthermore, it is expected that they exercise functional supervision over
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
of data science through an interdisciplinary and rigorous grounding in theory and methods with a human centric approach to the entire data life cycle. The mission of SDSS is to empower a diverse community
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modeling. The ideal candidate will be responsible for developing and applying probabilistic models to advance time-series analysis. Key areas of focus for this position include: 1)Probability Theory and