2,503 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Duke University
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programs to eligible team members. Learn more at: https: //hr.duke.edu/benefits/ DEPARTMENTAL PREFERENCES The successful candidate will be proficient in anesthesia. RVT (Registered Veterinary Technician
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service area; operate dish machine; wash, clean and mop food service areas as assigned. Key Position Duties Assist in the preparation of foods such as meats, vegetables, baked goods and desserts; prepare
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computing, machine learning for hardware design, integrated circuit design, or hardware–software co-design. Experience with semiconductor design tools, circuit/system modeling, or large-scale hardware design projects
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of Software, Computer Architecture, Artificial Intelligence / Machine learning (AI/ML), and/or Human-Computer Interaction. The ideal candidate will have commitment, passion, and excellence in teaching
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, bioinformatics, or a related discipline. The successful candidate will lead computational research projects applying advanced statistical, machine learning, and artificial intelligence approaches to large-scale
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Department of Biostatistics and Bioinformatics at Duke University School of Medicine is seeking an Associate in Research to join an interdisciplinary research group developing advanced machine learning and
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identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on
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of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or
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focus on developing play-based learning resources and interdisciplinary multimedia projects, with some aspects overlapping with formal STEM education and policy. In addition to project responsibilities
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, genomics, computer science, bioinformatics, or a related discipline. The successful candidate will lead computational research projects applying advanced statistical, machine learning, and artificial