558 parallel-computing-numerical-methods positions at University of California, San Diego
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Position overview Position title: Biomedical Informatics Research Salary range: The posted UC Salary scales set the minimum pay at the appointment as determined by appointment type and if applicable
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candidates will have experience or demonstrated contributions to a climate that supports equity, inclusion and diversity. General Duties: EDS credential program courses meet face-to-face unless otherwise
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qualifications (required at time of application) Candidates must hold a Master's degree in a field related to data science, such as computer science or statistics. A minimum of 5 years industry experience may be
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Position overview Position title: Biomedical Informatics Research Salary range: The posted UC Salary scales set the minimum pay at the appointment as determined by appointment type and, if
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Position overview Position title: Biomedical Informatics Research Salary range: The posted UC Salary scales set the minimum pay at the appointment as determined by appointment type and if applicable
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recruiting a scientist to work on the development of artificial intelligence (AI) data-driven weather prediction models. The successful candidate will apply their background and expertise in computational
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climate observations, numerical modeling, machine learning algorithms, and decision support tools focused on atmospheric, land-surface, and hydrologic conditions related to extreme weather events and their
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subject matter expert at this level. Using deep expertise in high-performance computing (HPC) systems, including resource managers, schedulers, and parallel file systems (e.g., Lustre), the IT Security
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duties. Ability to effectively manage time and see assigned parts of projects through to completion on deadline. Proven ability to juggle multiple related projects in parallel with concurrent and staggered
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independently a wide variety of technical procedures in a section of the Clinical Genomics Department. Other responsibilities include method development-modification-parallel testing, collaboration