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University of Hawaii at Manoa | 2 months ago
1 will receive full consideration. For any inquiries contact Eric Gaidos at [email protected] Publication Start Date 2026 Aug 07 Application Deadline 2026 Sep 01 Inquiries Name Eric Gaidos Email [email protected]
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as such: o 50% towards ongoing and new applied research projects under the supervision of Professors Sertac Karaman and Eric So; o Approximately 25% of time allotted for independent research. o
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to closely collaborate with CS faculty members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience
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Center (HT- RDS Center). The applicant would be responsible for designing and developing workflows for automated, micro-scale parallel experimentation. These workflows will be used for the
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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
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statistical mechanical theory to analyze the simulation results Basic understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred
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( Prof. Eric Kort ) in the group of Dr Hartwig Harder . The project will be jointly supervised by Prof. Eric Kort and Dr. Hartwig Harder. The project Biogenic and anthropogenic emissions rise from the
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Laboratory, Materials Measurement Science Division opportunity location 50.64.31.B5251 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Eric James
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and body weight. The researcher will join the Department of Psychology and be based in the Appetite & Obesity research group. The project is led by Professor Eric Robinson, University of Liverpool
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University of Toronto | 2 months ago
Hybrid In-Person Location(s) Toronto ON Canada Job Description The University of Toronto is pleased to announce the third call for applications for the Eric and Wendy Schmidt AI in Science