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with high-performance computing and workflow automation is desirable. Strong communication, leadership and collaborative skills is desirable. Specific Requirements Your responsibility Develop and
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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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sequence alignments. In this project, we will conduct a comparative study of noncoding genomic regions. You should have expertise in algorithm design and high-performance computing, particularly in
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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
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priority access to cloud computing , a local high‑performance computing facility housed in a state‑of‑the‑art data center, a genomics laboratory for developing new omics technologies and assays, a wet
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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
experience with computational fluid dynamics, for example STAR-CCM+ or OpenFOAM. Experience with reduced-order modeling and machine-learning-based surrogate models. Experience with high-performance and
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based high-performance computing, automated workflows and reproducible data analysis