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how a tumour responds to therapy across biological scales, are both betting that structure beats brute scale. In this postdoc you will lead research on physics-informed (and physics-grounded) world
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modeling. This position offers a vibrant research environment with access to world-class high-performance computing clusters and opportunities to collaborate broadly across the departments of Physics
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genetics. Our research program uses integrative genomics approaches to define the molecular mechanisms by which genetic variation shapes endothelial cell biology and confers risk for coronary artery disease
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methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA
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Engineering » Chemical engineering Chemistry » Instrumental analysis Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 12 Jul 2026 - 23:59 (Europe/Warsaw) Country
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) Established Researcher (R3) Application Deadline 22 Jul 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
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knowledge in parallel/GPU computing. Job Duties Job Duty Doing research problems in the area of mathematical foundations of data science and machine learning. The postdoc will assist with ongoing research
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knowledge in parallel/GPU computing. Job Duties Job Duty Doing research problems in the area of mathematical foundations of data science and machine learning. The postdoc will assist with ongoing research
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Posted on Tue, 04/07/2026 - 20:37 Important Info Faculty Sponsor First name: Stephen Faculty Sponsor Last Name: Hinshaw Stanford Departments and Centers: Molecular and Cellular Physiology Postdoc
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applications with related expertise. Experience with sequencing approaches to study RNA turnover or with massively parallel reporter assays(MPRAs) will be beneficial. Must Have Bioinformatics experience in