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proving, machine learning for reasoning, or neurosymbolic AI. Desirable Application/interview Further Information Grade Grade 8 Salary £48,822 - £51,753 Work arrangement Full-time Duration Until 30th
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affiliated with Columbia University. Duties and Responsibilities: Construct air pollution and meteorological data prediction models using machine-learning based methods Conduct epidemiologic analyses studying
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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are supportive of post-doctoral research fellows obtaining independent funding and/or career development awards to advance their independent academic careers. Responsibilities* The successful candidate will be
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limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks Analysis”. The appointee should be prepared
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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 1 hour ago
The Humam Kadara Laboratory in the Department of Translational Molecular Pathology at The University of Texas MD Anderson Cancer Center is seeking talented and highly motivated postdoctoral fellows
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is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their
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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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in robotics, machine learning, battery systems or a related discipline to deliver project outcomes, build productive research partnerships and contribute to high-quality outputs. You will have the
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Military Reservation is seeking a Post bachelor's fellow for their Wildlife Research Fellowship at the West Point, NY facility. Why should I apply and what will I be doing? As an ORISE participant under