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agencies, NGOs, or other approved facilities to accomplish your research goals, all while networking with top scientists in the field. You will enhance your education and training in marine energy, increase
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | 2 months ago
. The position is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators
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SPECIFICS A postdoctoral position is available in the Biology Department at the Pennsylvania State University to study population genetics and the evolution of gene regulatory networks in bats under
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for interaction and collaboration with faculty and other scholars, both at Yale and beyond. Internal Network: Dr Robert Sanderson – Primary mentor and supervisor Dr William Mattingly – Secondary mentor, assistance
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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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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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its Career Center, Teaching Center, and Office of Postdoctoral Affairs. As part of our vibrant scientific community, you will have access to state-of-the-art facilities and a network of
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and AI-based approaches, including predictive modeling, stratification, explainable AI, and integrative multimodal analysis. The scholar will have opportunities to lead first-author publications
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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis
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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 | 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