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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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work to generate reports, keep records, write manuscripts, prepare presentations, etc. The ideal candidate will have post-graduation research in immunology and have published (or under review) several
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Intelligence Learning department of the Computing and Data Sciences (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate
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Post Doc Res Assoc Job Summary The Ho lab at the University of Utah is launching an ambitious program to systematically discover, map, and therapeutically harness mitochondrial microproteins
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AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in rough
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
synthesis and electrochemistry. The candidates should be self-motivated to explore new areas of studies including AI related and machine learning fields, have evidence of academic excellence, good
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of the expected progression within Post Doc and Senior Post Doc is transferable between the Irish HEI’s. This can be reflected in the starting pay of a PD researcher. Similarly, as the PD scheme is an
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. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and multi-omics data. Additional responsibilities include mentoring students, collaborating with faculty
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thesis), with significant skills in the second (typically through their initial training, an internship, or a prior post-doc). We are therefore seeking applications from the remote sensing and geosciences
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for physical AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in