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University of California San Francisco | San Francisco, California | United States | about 1 month ago
on big data projects in remote, cloud computing environments is a plus. The employee should show a strong interest in clinical research and a desire to contribute to the state of knowledge
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the College of Arts and Sciences at Oklahoma State University invites applications for a Postdoctoral Fellow position in the Experimental High-Energy Physics group to work on the ATLAS experiment at the Large
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to, the following. Additional essential functions may be identified and included by the hiring department. 1. Collects, prepares, and integrates various large and complex data sets to be utilized in various
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Management or a related field (e.g., Data Analytics, Big Data, Entrepreneurship, Asset Management, AI), preferably with extensive management experience in the hospitality and tourism business, excellent
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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
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MRC centre of research excellence in Therapeutic Genomics. You will be responsible for performing detailed analysis of large genomic datasets, including data processing, statistical analyses
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, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ . Minimum Required Qualifications: High
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. For instance, LLMs are typically trained on vast and diverse datasets, many of which contain personal information about thousands or even millions of individuals; the large repositories of data used to train and
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well as providing general care to ensure their overall welfare. You will also evaluate the condition of animals, collect and record health data, and help maintain a clean, safe, and sanitary environment. In
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to exclusively manage coding, data processing, and analytical responsibilities associated with Projects 1a-1c. The successful candidate will leverage advanced computational methods, including Large Language Models