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adapting large-scale codes developed for parallel computing. Record of excellence in professional achievement, as evidenced by a strong publication record. Demonstrated ability to carry out independent
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7 Apr 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Mathematics Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Engineering Position Description The Materials Intelligence Research group of Prof. Boris Kozinsky at Harvard University is seeking researchers at the postdoc level to develop and apply first principles and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
-lab.med.unc.edu/) has an open position for a computational postdoc to study the genetics of human disease. The successful candidate will analyze response QTLs (expression QTLs, splicing QTLs, chromatin
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» Biodiversity Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 24 Mar 2026 - 23:59 (Europe/Paris) Country France Type of Contract
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computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based approaches to other
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functional genomics, human genetics, and in vivo experimental systems to understand enhancer function across regulatory and phenotypic scales. We develop and apply both experimental and computational
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will be involved in
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2026 - 23:00 (UTC) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not
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. Programming & Software Development: Proficiency in Python, PyTorch, JAX, or other ML frameworks Computing: Some experience with large-scale datasets, parallel computing, and GPUs/TPUs. Algorithm Development