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methods, provides the ideal environment for research on programming with formal guarantees — a topic of increasing practical importance. About us The Department of Computer Science and Engineering , a joint
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, 2023 Batiuk, Höpfler et al., Nat Commun, 2024 Additional information can be found on the lab website: https://www.crg.eu/en/programmes-groups/hopfler-lab Contact: Markus Höpfler [email protected]
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May 19, 2026 Deadline May 19, 2027 at 11:59 PM Eastern Time Description The Reilly Lab seeks a highly motivated Postdoctoral Associate to join an interdisciplinary research program focused
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knowledge in parallel/GPU computing. Job Duties Job Duty Doing research problems in the area of mathematical foundations of data science and machine learning. The postdoc will assist with ongoing research
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knowledge in parallel/GPU computing. Job Duties Job Duty Doing research problems in the area of mathematical foundations of data science and machine learning. The postdoc will assist with ongoing research
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Appointment Term: Open-ended Appointment Start Date: ASAP Group or Departmental Website: https://hinshawlab.stanford.edu/(link is external) How to Submit Application Materials: Please submit your application
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reduction, nonlocal PDE operators or OpenMP/MPI/CUDA parallelization? If such terms are familiar for you - and if you are excited by the mathematical analysis, development, and rigorous understanding
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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dynamics simulations, statistical mechanics, and electronic structure theory. Proficiency in scientific programming is essential, with experience in Python, Fortran, and parallel computing frameworks (e.g