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Burroughs Wellcome Fund: Postdoctoral Enrichment Program Eligibility: Limited to citizens of Canada and the U.S.; candidate must have no more than 48 months of postdoctoral research experience (in a
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the year. You are welcome to also apply to other opportunities offered at specific offices through the DOE Scholars Program. Are you ready to make an impact on the future of energy, environmental sciences
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The Quantum Information and Computation group in the Mathematical Institute, led by Prof Balint Koczor, is looking for a highly motivated and exceptionally talented quantum theorist to lead new
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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Location: Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG Contract type: Fixed Term until 30th September 2028 The Quantum Information and Computation group in
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and computational chemistry. The position offers the opportunity to contribute to cutting-edge research in one of two main directions: Application of quantum mechanical method (QM/MM) to bioinorganic
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environments. Experience with parallel computing environments, HPC in a Linux environment. Experience with surrogate modeling. Experience with data analytics techniques. Familiarity with C++ and GPU programming
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About us: This Computational Biologist post forms part of the CRUK City of London Centre and is based within the School of Cancer & Pharmaceutical Sciences at King’s College London. The successful
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data. The successful candidate will contribute to understanding how modern machine learning models...
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computing software libraries (e.g., Trilinos, MFEM, PETSc, MOOSE). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance