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-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences research
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invites applications for one a 1-year post-doctoral researcher, renewable up to 4 years, for interdisciplinary work applying tile-based programming abstractions to an adaptive mesh refinement computation
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fungal networks. The project is funded by a joint NIH/NSF program at the interface of mathematical and biological sciences. Job description: Lead the design, conduct, and analysis of laboratory experiments
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& Decision Neuroscience Lab (https://www.konovalab.com/ ) led by Dr. Anna Konova and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision neuroscience
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
in which individuals are enrolled into prospective observational or intervention studies that seek to better understand and prevent posttraumatic neuropsychiatric sequelae (https://www.med.unc.edu/itr
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agoinsights through iterative, hypothesis-driven computational analysis. 2) Characterizing the landscape of structural mutations—including intragenic rearrangements (IGRs)—across cancer types and modeling
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linear models, network analysis, etc.) experience with culturing microorganisms (fungi and/or bacteria) experience with R and/or other programming languages familiarity with bioinformatics and modeling
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. The position involves data analysis, model development, use of AI/ML tools for both understanding the mechanisms governing long-term performance of polymers and composites and translating findings into practical
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical
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/2026 Group or Departmental Website: https://med.stanford.edu/supekar-lab.html(link is external) How to Submit Application Materials: Please email application materials as a single PDF to supekarlab