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Number: 16451 School: Harvard Medical School Position Description: We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical
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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 2 months ago
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description IDIBGI is looking for highly-motivated and ambitious
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of the University of Beira Interior (https://rise-health.pt/home_en/ ), under the following conditions: Research Field: Biomedical Sciences (Human Genetics) Objectives: The GenoPit Plus project aims to develop and
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‑growth opportunities. Your qualifications should include: Ph.D. in computer science, bioinformatics, computational biology, genetics, or a closely related quantitative field. A degree in computer
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of the University of Beira Interior (https://rise-health.pt/home_en/ ), under the following conditions: Research Field: Biomedical Sciences (Human Genetics) Objectives: The GenoPit Plus project aims to develop and
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). - Quantum algorithm design. - Error correction or error mitigation. Certifications/Licenses Required Knowledge, Skills, and Abilities Strong background in quantum chemistry, computational physics
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at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Perform quality checks of brain PET/MRI cognitive, clinical, genetic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Health, powered by the All of Us Research Program is a new initiative to develop algorithms that predict individual responses to food and dietary patterns. The NPH Consortium consists of 12 awardees across
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the molecular biology of aging and neurodegenerative diseases. Engage in the development and testing/validation of new algorithms and their applications to transcriptomic, epigenomic, genetic, and proteomic data
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Computer Science (EECS)/Energy Systems Innovation Center (ESIC) to develop high-fidelity grid-forming inverter models and high-voltage direct current (HVDC) models, and investigate their impact on the power