79 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" scholarships at Nature Careers
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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foundations, quantum information theory, and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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Smet ( https://desmetlab.sites.vib.be ) and F. Van Breusegem ( https://vanbreusegemlab.sites.vib.be ) have expertise in abiotic stress signaling and in advanced molecular profiling, including mass
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citizens in their choices, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute
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at Westlake University actively promote cross-disciplinary research and there are ample opportunities to combine research interests from other Ph.D. programs or from any of the four schools' program research
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established Systems Neuroimmunology Laboratory at LMU Munich (www.m-kaufmann.com ) is seeking a motivated and creative PhD candidate passionate about combining immunologic methods and advanced computational
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transporters are LAT1, SNAT2 and PAT1 as these have all been implicated in cancer. The project will do this via computational modeling and design using AlphaFold3.0 and available protein structures and ligand
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You apply through our recruitment system on 30 March 2026, at the latest (https://umu.varbi.com/en/what:job/jobID:905098/ ). The application, written in English, should include: A short (max 2 pages
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems