1,588 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers
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and written) are a requirement. For more information, see: https://streuff.weebly.com and https://www.carltryggersstiftelse.se Application The application should state the above reference (CTS25) and
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. http://academicaffairs.ucdavis.edu/programs/worklife/index.html The UC Davis Partner Opportunities Program (POP) and Capital Resource Network (CRN) are services designed to support departments and Deans
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outstanding opportunity for a Research Technician to join the lab team of Dr. Elisa Zhang, Freeman Hrabowski Scholar starting in summer 2026. The Freeman Hrabowski Scholar program is noteworthy for selecting
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. As part of the DFG-funded
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of mass spectrometers (together with the engineer). • Develop and validate new analytical protocols (together with the technician). • Test and optimize instrument parameters for different applications
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The Department of Food Science The Department of Food Science is part of the Faculty of Technology, Aarhus University and includes research across the food value chain within the areas of Plant Production Systems
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involving the analysis of omics or twin datasets. Essential qualifications include: A strong computational background, with experience in one or more programming languages (e.g. R, Python, Perl, or shell
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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Program dataset, and also make use of many other datasets, including our own Yale-Penn sample, Thai sample, and other samples, as well as the UK Biobank, AllOfUs, etc; (b) Psychiatric Genomics Consortium
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Computer Science, Biomedical Engineering, Statistics, Biomedical Sciences, Electrical Engineering, or a related quantitative field Strong programming skills (e.g., Python, R, or similar) Demonstrated research