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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (http://miaolab.org ) is looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI
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infrastructure funding to grow and diversify its portfolio of multi-centre cancer clinical trials. The post holder will be responsible for trial design, grant development, and submission, as well as oversight
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that the selected candidate presents a single copy of the official diploma recognition, required in education level. For more information about diploma recognition: https://www.dges.gov.pt/en/pagina/degree-and
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Healthtech excellence was acknowledged again, this time by the esteemed "CHIME Digital Health Most Wired " recognition program. Cedars-Sinai was assigned a Level 10-the most prestigious level of certification
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" recognition program. Cedars-Sinai was assigned a Level 10-the most prestigious level of certification-among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple
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Role: Research Associate in Transport Modelling & Analysis Grade and Salary: Grade 7, £37,694 - £47,389 per annum FTE and working pattern: 1FTE, 35hrs per week, Monday – Friday Contract: Fixed Term
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implementing novel and innovative tools, technologies and approaches to fundamental problems in systems and circuit-level neuroscience. For more information about the lab check out: https
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Business department, please click here: https://www.aut.ac.nz/research/academic-departments/marketing-and-international-business The Opportunity | Te Whiwhinga mahi We have a permanent, full-time (37.5 hours
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, candidates do not present proof of degree recognition and/or proof of enrolment in a non-degree awarding course, they may submit a declaration under oath (attached to this Call for Applications), undertaking
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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Design and implement scalable, robust data