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-related field and have demonstrated commitment to teaching excellence and innovation. We are seeking candidates who can teach large lower- and upper-level undergraduate and master’s level courses in AI
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practices” research themes. The successful candidate will have: a PhD in Translation Studies/Machine Translation; practical experience conducting data-driven research in a machine translation/large language
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statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and Bruchas, develop experimental methodologies related to two-photon imaging
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large research team. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel
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reliability, resilience, and security. Our team is looking for an intern who has strong technical background in machine learning (ML) and artificial intelligence (AI), ideally on large language models, natural
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
data scientist, several student learners and a faculty member of the UCSF Department of Epidemiology and Biostatistics. The team has extensive experience with machine learning, artificial intelligence
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discovery, novel algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social networks, fairness, accountability, and transparency in
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large-scale focused efforts: achieving quantum advantage through coherence-driven materials design and realizing scalable, modular quantum systems. These efforts integrate vertical co-design, from
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
. Basic knowledge of statistics and machine-learning Basic programming skills in R and/or Python Basic knowledge of mixed effects models Preferred Qualifications Master's degree in Data Science (or related
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, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, health artificial intelligence and machine learning, privacy technology, global health informatics