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(laboratories, BAM Data Store, high-performance computing, etc.). Certified family-friendly working environment Subsidy for the Job Ticket Equal opportunities and diversity We offer: Access to high-quality
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-based surrogate models. Experience with high-performance and parallel computing. Familiarity with digital twins and real-time deployment of predictive models is an advantage. Who we are The two
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
nuclear or particle physics, evidenced by publications. Proficiency in numerical methods and scientific programming (e.g., C++ and/or Python) in a high-performance computing environment. Ability to carry
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algorithms for analysis of large image datasets. Experience with parallel computing, high-performance computing, distributed computing, and/or cloud-based computational workflows. Experience with large-scale
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activities in areas such as numerical analysis, mathematical modelling, development and analysis of algorithms, machine learning, optimization, scientific software development and high-performance computing
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algorithms/workflows compatible with the leadership-class high-performance computing facilities available at ORNL and other DOE facilities. Independently plan and conduct simulations while routinely
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areas such as machine learning, optimization, scientific software development and high-performance computing. The division is an important part of the eSSENCE e-science collaboration and of the Science
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is desired: statistical and theoretical population genetics, high performance computing environments, statistical genetics. The ideal candidate will also demonstrate: A high level of drive and
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Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational resources, including cloud-based computing and Stanford high performance clusters. We offer
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. English is the working language in both groups. The postdoc will have access to scientific mentoring, international networks, high-performance computing resources and close interaction with experimental