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Field
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sitting for long periods of time Shift 20 hours per week / hours vary Job Summary This position will support for an artificial intelligence project. Responsibilities include developing algorithms and
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to the development of data algorithms and specialized computer software for identifying and classifying components of biological systems (such as DNA and protein sequences). Support the creation and maintenance
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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and endolysosomal mechanisms; and (3) theoretical and computational neuroscience, including models, algorithms, or theory that probe mechanisms of neural circuit function across levels of biological
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
at the intersection of neuroscience, data science, artificial intelligence, and computational research. You will collaborate with investigators and research teams to develop, analyze, and optimize computational tools
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are seeking a Senior Data Engineer with deep expertise in database design, optimization, and data access strategies to support our growing data science and machine learning initiatives within the Computational
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expectation of advising at the PhD level. On the research mission, faculty are expected to develop and maintain a strong research program that contributes to the IS discipline. The chosen candidate will also be
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neuroimmunology program in the Department of Neurology at Yale School of Medicine, with close ties to genetics, computational biology, and clinical trial groups, including partnerships with pharmaceutical
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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects