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information about the lab check out: https://www.moorelabstanford.com/ . About the role: The role will be in-person with hybrid flexibility and is a perfect opportunity for someone looking for a 1-year, fixed
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, resource requests, and environment management. Desired Requirements: 1. Probabilistic modeling: scVI/scANVI/totalVI for RNA and RNA+protein integration. 2. GPU experience: PyTorch/CUDA for segmentation/model
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, Python, CUDA o Open CL) -Manejo de sistema operativo Linux • Proficiency with mathematical software tools such as MATLAB • Strong programming skills (proven experience with programming languages such as
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cover letter describing research interests, a current curriculum vitae, and contact information for three references – https://unmc.peopleadmin.com/postings/95260 . Required Qualifications Ph.D
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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, including benchmarking and validation Publication of results in journals and conferences Where to apply Website https://apply.refline.ch/673278/3832/1m.u7qjgjKjzKmrHRvMb9SUuweUMUm96yz1qOEhI4Z… Requirements
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 18 days ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · research and development of methods for acceleration of parallel applications in the High Performance
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quantum platform software such as Qiskit or cuda-q Other Information: While principally based at Brookhaven National Laboratory, candidates should be willing to travel to carry out experiments at various
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representations. Experience scaling model training/inference on GPUs; familiarity with CUDA-adjacent performance considerations, distributed training, or workflow orchestration. Compensation, Benefits and Position