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translational breast cancer research. We use cell culture and animal models to examine molecular mechanisms regulating the development and progression of breast cancer with a specific focus on the tumor
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information only) The search committee will contact references of the top candidate(s) after the interview(s). After references are checked, a top candidate will be chosen. Apply link: https
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require additional information? Please contact: Efstratios Gavves, Associate Professor, e.gavves@uva.n Where to apply Website https://www.academictransfer.com/en/jobs/359154/postdoc-on-robot-world-models-u
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
the University of North Carolina at Chapel Hill. These appointments will be in the Institute's Center for Environmental Modeling and Policy Development (IE-CEMPD). The selected candidates will work with Dr. Sarav
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-sensory-guided behavior. The lab uses animal behavior, optogenetics, multi-area in vivo electrophysiology, and computational modeling tools to study information flow between cortical and subcortical brain
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models. In addition, it will use Crispr-Cas9 approach to knockdown important transcription factors, such as Snail and Twist, in triple-negative breast cancer cell lines to examine the functional role and
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or Python (data management, statistical modelling, visualisation, and reproducible workflows). Excellent English (written and spoken); Spanish and/or Catalan are an asset, and additional European languages
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Immunology Posting Number R260042 Posting Link https://www.ubjobs.buffalo.edu/postings/61542 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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Immunology Posting Number R260043 Posting Link https://www.ubjobs.buffalo.edu/postings/61543 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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mission of unlocking the “geometry of artificial intelligence” then please apply! What you will do Singular Learning Theory (SLT) is a mathematical framework for analysing statistical models that do not