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Qualifications: A PhD in Computational Chemistry, Physics, Chemical Engineering, Materials Science and Engineering, or a related field completed within the last 5 years Experience in theoretical and computational
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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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quantify the impact of fast, tenuous shocks on ionized line emission. In parallel, high-resolution 3D MHD simulations of fast shocks interacting with dense interstellar clouds will be carried out with
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codes. Collaborating with domain scientists to apply sparse algorithms to DOE mission applications and mentoring and working with undergraduate and graduate students. Basic Qualifications: A PhD in
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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, and a special interest in IBD. The ideal candidate has: A PhD in bioinformatics within the field of IBD Has demonstrated expertise in working with registry data as well as genomic, microbiomics and
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position within a Research Infrastructure? No Offer Description Activities and context: To conduct a randomized, controlled, parallel-group clinical trial to evaluate the effects of the BioMedBra Diet
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 3 hours ago
how this can distort dialectal conclusions. However, no study has yet measured this distortion on a controlled parallel corpus. This postdoctoral position is designed to produce that study and the gold
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM