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Internal Number: 6483018 Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics Advanced Bioimaging Center Department of Molecular and Cell Biology Position overview Position title
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rigorous methods for causal inference and machine learning . The Institute for Business and Social Impact (IBSI) was launched in November 2013 at the Haas School of Business to train and empower leaders
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. Familiarity with machine learning (ML) techniques for optimizing models or analyzing complex datasets. Experience with space-based instrumentation or similar high-precision systems. Demonstrated expertise in
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foreign language, linguistics, second language acquisition, literature or related field. Experience with computer-assisted language learning and language instructional software, and online instruction
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the review date will only be considered if the position has not yet been filled. Position description The Department of Electrical Engineering and Computer Sciences, in the College of Engineering at
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computer science venues, such as NLP conferences, machine learning conferences, and/or general interest journals Application Requirements Document requirements Curriculum Vitae - Your most recently updated C.V
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motivated Assistant or Associate Project Scientist to join the Division of Biostatistics. This position offers an exciting opportunity to work at the intersection of statistics, neuroscience, machine learning
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the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute. UC Berkeley Extension invites applications for a pool of
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. Ability to develop frameworks and networks for collaborative research projects. Experience leading fundraising strategies. Proficiency in using computer software and technology Application Requirements
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Demonstrated record of publications in relevant computer science venues, such as NLP conferences, machine learning conferences, and/or general interest journals Application Requirements Document requirements