2,372 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" Postdoctoral positions in United States
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. The successful candidate will engage in innovative research addressing statistical methodology, machine learning, and/or learning techniques in complex biomedical and health-related challenges. We particularly
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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, Machine Learning , Neutrino , Neutrino physics and Astrophysics , Phenomenology , Quantum Field Theory , Theoretical Particle Physics , theory , Lattice QCD Appl Deadline: 2025/12/02 04:59 AM
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faculty even as it expands opportunities for qualified students, attracting some of the highest- quality students from all 50 states and more than 130 nations. To learn more about ASU, visit http
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are expected to participate in workshops and seminars and to mentor our Predoctoral Associates. Fellows will also teach one section of an undergraduate course at the intersection of organizations and
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publication record in immunology/epigenetics. Information on our postdoctoral training program, benefits, and a virtual tour can be found at http://www.utsouthwestern.edu/postdocs . Please also read recent
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with other PIs in the Center for Cognitive Neuroscience. This is a full-time, grant-funded position, eligible for all Duke benefits (https://hr.duke.edu/benefits ) with an initial appointment of one year
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strongly encourage applications from candidates with diverse backgrounds, including those from groups that have been underrepresented in academia. To apply, visit https://wesleyan.wd5.myworkdayjobs.com
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Metabolism Postdoc Appointment Term: 2 years Appointment Start Date: Rolling admission, applicants can apply as soon as possible. Group or Departmental Website: https://www.research.va.gov/programs/bd-step
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due