211 computer-programmer-"Multiple"-"U.S"-"Humboldt-Stiftung-Foundation"-"O.P" Fellowship positions
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Field
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The newly established Program for Memory Longevity (PML), led by Attila Losonczy, MD, PhD, in the O’Donnell Brain Institute (OBI) and the Department of Neuroscience at the University of Texas
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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and experience are encouraged to apply: Minimum of five (5) years of project/programme management experience with the ability to juggle and complete multiple projects with diverse stakeholders
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access to state-of-the-art analytics and a robust cross-functional scientific community. The Opportunity: You will be part of the Genentech post-doctoral training program that provides an outstanding
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The Laboratory of Neural Stem Cells, led by Professor Hongyan Wang, Acting Director of the Neuroscience & Behavioral Disorders Program at Duke-NUS Medical School, Singapore, is seeking talented and
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-funded programme of research, ImPROving GROUP Treatment for People with Severe Obesity (the “PROGROUP” programme). The successful applicant will support the PROGROUP team in delivering and evaluating
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advanced training, aimed at enhancing the fellow's professional development, research capabilities, and academic independence. This role is research-focused and not part of a clinical training program. The
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training programme or within 4 years full-time equivalent of completing their training programme are eligible to apply. Clinical work during the PhD will be limited to one day per week. Doctors and dentists
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species