424 computer-algorithm-"Prof"-"Prof"-"Prof" 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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, collaborating with biologists, oncologists, statisticians, and other computational/ML scientists to translate computational findings into therapeutic strategies.-Design, debug, and optimize algorithms and
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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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: Apply by 8/12/2025. Eligible Special Selection clients should contact their Disability Counselor for assistance. The School of Computing, Information and Data Sciences (SCIDS) is composed of the founding
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hardware matters. Uses skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms and systems to identify and resolve a wide range
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with graduate students, postdocs, and senior researchers. They will be well integrated into the lab's research and be expected to understand the methods and algorithms in use by or being developed by
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talented and dedicated employees. Applies advanced computational, computer science, data science, and software research and development principles to perform complex distributed computing architectural
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and, as needed, coordinates with other CW3E PI's in preparing project proposals. Takes a lead role in the development of radar data assimilation algorithms for atmospheric rivers and heavy