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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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, 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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, 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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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a
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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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, with experience in additional languages such as Fortran considered a plus. Strong knowledge of at least one parallel programming model commonly used in HPC, such as MPI, OpenMP/OpenACC, CUDA, HIP, Kokkos
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development tasks will be helpful as well. This includes knowledge of one or more of the following: PyTorch, CUDA, MCP (or any other AI/ML tools) as well as Docker, Kubernetes, PHP, Web Services, Database
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computing (HPC) systems, including GPUs, and programming, such as using CUDA, MPI, AI/ML/DL, and advanced debuggers and performance analyzers. Familiarity with working on open-source projects. About UF
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tensor networks and matrix product states Expertise in quantum platform software such as Qiskit or cuda-q Other Information: While principally based at Brookhaven National Laboratory, candidates should be
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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