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Familiarity with performance modeling, analysis and optimization for heterogeneous architectures. Experience with developing code for: molecular dynamics, computational fluid dynamics, or quantum chemistry
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, support faculty in grant writing, and mentor data scientists, PhD students and undergraduate and graduate interns. Key Responsibilities : Perform independent research: own a research project from
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sedimentary architectures as well as fluid migration pathways through time and model the resulting distributions of heat and H2 fluxes and reservoirs properties at basin scale. The PostDoc will be supervised by
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computational workflows and high-performance computing Experience handling large population-genetic simulations (e.g., SLiM, msprime, tskit) Application: Interested applicants should email Aimee Taylor (ataylor
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processing purchasing orders, managing travel, and composing correspondence. Job Duties Assists with CNRC Postdoctoral Fellowship program recruitment, correspondence, and onboarding of new postdocs. Schedules
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
research in perovskite solar cells and detectors development to achieve high performance and long stability with a long-term goal of commercializing the technology. The candidate will collaborate with
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 3 days ago
-messenger astrophysics. The researchers in the "Computational Relativistic Astrophysics" division can use high-performance computers at the Max Planck Computing and Data Facility (MPCDF). To apply for a
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to advance knowledge in the following domains: Formal verification and interactive theorem proving (Rocq, Lean) Secure and high-performance computer systems, including ML infrastructure We seek outstanding
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educator and advisor for doctoral students, postdocs and alumni, providing tailored career development guidance across the full spectrum of doctoral career pathways. This role is designed to meet the unique
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imaging and analysis frameworks used within the EHT Collaboration. These codes run on local, national and international high-performance computing (HPC) facilities. This part-time 0.5 FTE Research