213 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "DESY" 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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-%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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, United Kingdom Supervisor: Dr. Ivana Savic Focus: computational materials modelling Background: physics, computational materials science. or a closely related discipline Apply: https://mgician.eu/research/doctoral
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational physics
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/ Postdoctoral-fellow (m/f/d) in the Excellence Cluster Synthimmune Our department (head: Prof. Dr. Adelheid Cerwenka;(https://www.umm.uni heidelberg.de/immunbiochemie/) focuses on the research of (innate) immune
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Bonn. The Department of Gynecology and Gynecological Oncology (Prof. Dr. med. Dr. hc. A. Mustea) is integrated as a department into the Center for Obstetrics and Gynecology, which also includes
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of the faculty and the university. In teaching, the chair is responsible for the comprehensive teaching of Food Chemistry within the Food Chemistry degree programs, the international master's program in Chemistry
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Engineering Department. The successful candidate is to teach and further develop classes in the faculty’s bachelor’s and master’s programmes, taught in both German and English. Publications in peer-reviewed
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Oncology Fellowship Program at the Heidelberg University Women’s Hospital will be available to support the candidate. Close collaboration with the divisions and research groups of the DKFZ and its research
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https://securemail.tu-dresden.de by sending it as a single pdf file tojobs-scads.ai@tu-dresden.de or to: TU Dresden, ScaDS.AI, Prof. Dr.-Ing. Michael Färber, Helmholtzstr. 10, 01069 Dresden, Germany