284 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" Postdoctoral positions at Nature Careers
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status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and
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Medicine (https://www.irem.uzh.ch/en.html) combines cutting-edge stem cell and bioengineering research to advance regenerative therapies. Based on bio-inspired principles and novel biomimetic technologies
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
proteomics analyses. APPLICATION PROCEDURE Please note that the application procedures differ between the two postdoc projects. More information about the application procedures is provided here: https
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writing skills are essential. Additional information: Interviews are planned for 18th March 2026. For further information and details of how to apply, please visit our website http://jobs.jic.ac.uk
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Article) PMID: 23811687 Nature Cell Biology 13: 310-316 (2011) (Cover Article) PMID: 21336310 Molecular Cell 37: 668-678 (2010) (Cover Article) PMID: 20227371 Lab website: https://www.med.upenn.edu/apps
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, with strong expertise in RNA biology, structural biology, enzymology, glycobiology and quantitative proteomics. More information: https://mbg.au.dk What we offer We offer: The opportunity to work in an
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of the Medical University of Vienna. With around 6,500 employees and 8,600 students, the Medical University of Vienna is one of the largest biomedical research and teaching institutions in Europe (https
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see the full call, including how to apply, on https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001/job/3637/?utm_medium=jobshare
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field soil and will be conducted as part of the N2CROP project [https://mbg.au.dk/n2crop ]. Your profile We are looking for a highly motivated candidate with a keen interest in legume-rhizobium
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targets to treat anhedonia. Proposals that challenge prevailing assumptions, employ cutting-edge technologies, or integrate machine learning with neurobiological data are especially welcomed. Projects