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Boston University Chobanian & Avedisian School of Medicine | Boston, Massachusetts | United States | about 10 hours ago
Position Description The Department of Pharmacology, Physiology & Biophysics (https://www.bumc.bu.edu/PPB ) at the Boston University Chobanian & Avedisian School of Medicine is seeking to recruit
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Position Description Boston University invites applications for a faculty position at the rank of Assistant Professor in the Department of Political Science. We seek candidates who specialize in
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Position Description Boston University (BU) invites applications for a tenure-track assistant professor position in the Faculty of Computing & Data Sciences (CDS). All candidates pursuing
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astronomical observatory located at Anderson Mesa Station, Arizona, a dark sky site roughly 14 miles south of the City of Flagstaff and in the Coconino National Forest. Boston University owns and operates
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BTH's largest department, with just over 70 employees. The department conducts research in computer science, covering the subfields of big data and AI, parallel computer systems, visual and interactive
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Position Description Postdoctoral Research Associate, Boston University, Division of Materials Science & Engineering and Division of Systems Engineering Position Type: Full-Time, 1-Year Initial
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understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP
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Associate to join the Parallel Systems Lab (https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI
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gaining a CCT. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants
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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