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well as national and international collaborators. This British Heart Foundation-funded project, based in the Fuller Lab, will develop parallel, novel strategies targeting Ca(v)1.2 for translation into new
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, Azure, GCP), Massive Parallelism paradigms (MPI, OpenACC, Accelerators) and more You will be part of a team supporting all University-wide ARC services and national services such as NSF ACCESS, and, Open
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computing, cloud computing, data streaming, remote execution, agentic programing, and NLP interfaces. Areas of application for these methods include: geosciences (environmental, climate, atmospheric
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
, AI, Data Science, Statistics, or related.Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs.Proficiency in Python programming and major ML/DL
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of the school with interest in the school’s programs. We seek a positive, conscientious, student-centered individual to help prepare students for lives of impact by connecting them with educational experiences
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includes: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred
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Science Acceleration Program (NESAP ). You will join a multidisciplinary team building AI-driven scientific workflows for the upcoming Doudna supercomputer. Doudna will deliver over 10x the performance
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Abilities: Experienced in heterogenous computing with GPU accelerators using one of the programming models: CUDA, HIP, SYCL, Kokkos, OpenMP, OpenACC and similar. Familiar with distributed parallel computing
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of computer science fundamentals including algorithms, data structures, and object-oriented programming. Proficiency in C/C++ or similar language Working with large codebases Containerization (Docker) and building
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of computer science fundamentals including algorithms, data structures, and object-oriented programming. Proficiency in C/C++ or similar language Working with large codebases Containerization (Docker) and building