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strong background in the treatment of complex materials interface systems with electronic structure and/or machine learning methods, including (or be about to obtain) a PhD in a relevant area. Experience
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systems with electronic structure and/or machine learning methods, including (or be about to obtain) a PhD in a relevant area. Experience in high-level electronic structure theory such as coupled cluster
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relevant field such as NLP, Information Retrieval, Artificial Intelligence or Machine Learning and be able to demonstrate a strong track record of independent research and high-quality publications
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; experience in programming, data management and interpretation; comfortable developing data-driven and machine learning approaches from experimental data; ideally has experience in blast engineering, or damage
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funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and pharmaceutical industry
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-wide in-person events, typically in New York. Basic Qualifications Researchers holding a PhD related to programming languages, artificial intelligence, and machine learning. Researchers with experience
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funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and pharmaceutical industry
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neuroscience, computational cognitive science, physics, mathematics, computer science, machine learning, engineering or a related field. Preference will be given to candidates with: previous experience in
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presentations, and requests for proposals issued by the Kempner Institute. The successful candidate will have content knowledge in computational neuroscience, neuroAI, artificial intelligence or machine learning
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Regulations and Standards, the Guide for the Care and Use of Laboratory Animals, and AAALAC accreditation standards. Qualifications Must-Have PhD with 2+ years of experience in one these related fields