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Assistant (Type C): • Master's degree in Computer Science or related field. To qualify for the rank of Research Associate or Postdoctoral Scholar: • PhD in Computer Science or related field. All offers
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Position Description: This position is funded off our NIH P20 grant (Research on Climate, Health and Equity in A Changing Environment (C-CHANGE)) and funding from the Burroughs Wellcome Foundation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
. Preferred Qualifications, Competencies, and Experience Programming skills (e.g., python, bash scripting, Fortran, C++ and CUDA), expertise in computational modeling (such as Deep Learning, Molecular Dynamics
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systems (proteins, enzymes, membranes, and complexes) Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity Contribute to cross-scale modeling
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underrepresented groups to apply. The review process is on a rolling basis. Please refer to the “Application Procedure” section for details on how to apply. Current Openings Safety, Performance and Reliability in
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computational models in pandemic science. These models can be applied in any relevant field! Sociology, Computer Science, Psychology, Game Theory, Immunology, Physics, and/or Ecology. Yes! Any/all of them! We
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Utløpsdato: én måned Navn: C Leverandør: .adform.net Databehandlingsansvarlig: Smart Formål: Brukes til nettbasert markedsføring ved å samle inn informasjon om brukerne og deres aktivitet på nettstedet
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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Utløpsdato: én måned Navn: C Leverandør: .adform.net Databehandlingsansvarlig: Smart Formål: Brukes til nettbasert markedsføring ved å samle inn informasjon om brukerne og deres aktivitet på nettstedet
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of parent infant interaction and conduct in-depth analysis (20%). b. Analyze infant MEG raw data (20%). c. Perform statistical analyses on the dataset to address research questions (20%). d. Review