194 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "Computer Vision Center" positions at Nature Careers in Germany
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application instructions), please visit: https://www.mpg.de/en/max-planck-postdoc-program . To submit your application online, please visit: https://postdocprogram.mpg.de The application deadline is April 13
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Process To apply for the MPG-WIS Joint Postdoctoral Program, please follow the application guidelines below: Contact researchers at MPG (see list of institutions ; https://www.weizmann.ac.il/sites/mpg-wis
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We are looking for a passionate Computational Scientist (m/f/d) with expertise in computational immunogenomics to join our Systems Immunology & Medicine unit. We are an interdisciplinary team
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-%28mfd%29-Computer-Science-Data-Science-Schl-24105/1381773333/# For more information visit: www.uksh.de/jobs | https://www.ikmb.uni-kiel.de/research-group/biomedical-informatics-and-genetic-redefinition
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Possibility of mobile work and part-time work Family-friendly working environment Sustainable travel to work: subsidized Germany job ticket Our Corporate Health Management Program offers a holistic approach
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with a track record of intense mutual collaboration Structured PhD-training programme with a wide range of and professional development opportunities A respectful and appreciative work environment within
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funded by the German federal government and 10 percent by the state of Berlin. A fully funded computational postdoctoral position is available in the Spatial Proteomics research group headed by Dr. Fabian
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We are seeking an experienced computational biologist or bioinformatician to support the development of next-generation RNA-based precision therapies. The work is part of a core project within
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projects and publications. Participation in our qualification program hosted in the NavNextGen Academy (see below), in NaviSense events like retreats and seminars to present your research, strengthen
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applications for a postdoctoral researcher to join an interdisciplinary research program within the PRELUNG study, focusing on early lung cancer detection and biological characterization of pulmonary nodules