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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
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 18 hours ago
Organization U.S. Department of Energy (DOE) Reference Code DOE-STP-OP-2025-0001 How to Apply Click on Apply below to start your application. Description The U.S. Department of Energy (DOE) Science
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Post Doc Res Assoc Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday
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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 | 2 days 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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, 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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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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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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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: Experience with generative models (transformers, diffusion models, VAEs, GANs) applied to biological sequences Familiarity with the theory behind modern molecular biology techniques Knowledge of HPC