63 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "J" Fellowship positions at Nature Careers
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such as system usability, improved patient outcomes, and workflow optimization. Preference will be given to candidates who have completed a clinical informatics fellowship or similar advanced degree program
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, building upon our recent work published in Nature (https://www.nature.com/articles/s41586-025-09889-w ). Your Responsibilities As part of the role, you will be required to operate and maintain state
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pediatric psychology. The postdoctoral fellowship training program is designed to enhance skills of psychology trainees preparing for a career in a pediatric academic medical setting. As a fellow, you will
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application form. https://apply.refline.ch/673277/1335/index.html?lang=en Company Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute
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that combines molecular biology, computational biology, structural biology and chemistry with various ‘Omics’ techniques such as proteomics to study the pathways and protein complexes involved in the regulation
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collaborative research environment that brings together computational scientists, clinicians, and biomedical researchers to address pressing challenges in precision medicine and biomedical data science. QBRC is a
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will work within the Wolpin-Nowak laboratory (https://labs.dana-farber.org/wolpin-nowaklab/) as part of the Hale Family Center for Pancreatic Cancer Research (https://labs.dana-farber.org/halecenter) and
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The Omenn-Darling Bioengineering Institute at Princeton University invites applications for the ODBI2 (Omenn-Darling Bioengineering Institute Innovators) Fellows Program. ODBI2 Fellows will work
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Bioinformatics Core and Office of AI Research, with opportunities for all fellows to develop their own computational skills). Experimental validation – evaluating RNA drug candidates using cell-based assays
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the following areas: Developing novel and widely used human genomic transgenic mouse models of HD (e.g. Gu, Neuron , 2022, PMID: 35114102; Gray, J. Neurosci., 2008, PMID: 18550760); Characterizing transcriptomic