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. Scientific programming experience using Python. Experience utilizing high-performance computing clusters for research applications. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40
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be performed to identify the molecular mechanism of mitochondrial diseases and other rare neurological diseases in children and adults. The over-arching aim of the research group is to develop new
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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 agoPostdoctoral Position: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology and Immunobiology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and
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programming skills in Python, MATLAB, C++, or similar scientific computing environments, including high-performance and GPU computing. A strong scientific track record, evidenced by high-quality publications
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Researcher (R3) Application Deadline 23 Aug 2026 - 00:00 (UTC) Country Morocco Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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conduct scientific experiments, and collect, analyse and interpret data Contribute to managing and maintaining laboratory equipment Generate and disseminate high-impact research outputs, contributing
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optimization. You enjoy hands‑on laboratory work, iterative troubleshooting, and mentoring junior researchers. You are collaborative, organised, and committed to producing high‑quality scientific outcomes. About
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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. The CRG is composed by an interdisciplinary, motivated and creative scientific team which is supported both by a flexible and efficient administration and by high-end and innovative technologies. In April