118 computing "https:" "https:" "https:" "Grenoble INP Institute of Engineering" uni jobs at Nature Careers in Germany
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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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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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The Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) invites applications for the Lead of the Scientific Computing Technology Platform. We are seeking an outstanding
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Work group: Gerics - Climate Service Center Area of research: Scientific / postdoctoral posts Starting date: 23.01.2026 Job description: 2026/KG 1 - Postdoc - Data Science or Computer Science with
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(https://www.ukw.de/en/research-hudecek-lab/home/) under Prof. Dr. M. Hudecek and with the Chair of Computational Biology of Spatial Biomedical Systems (https://www.med.uni-wuerzburg.de/en
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as soon as possible (fixed-term, 5 years). A nationally and internationally established scientist from the fields of medical informatics, bioinformatics, computer science, computational life sciences
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to establish an independent junior research group (https://www.dkfz.de/en/research ) in translational gynecologic cancer research, focusing on early detection, diagnosis, therapy, or prevention of ovarian and/or
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an industrial connection scientific teaching tasks (e. g. seminars; no basic lectures) presentation of research results and prototypes Requirements: university degree (typically M.Sc.) in Computer Science, Data
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are asked to apply via the Appointment Portal of the University of Bonn (https://berufungsportal.uni-bonn.de ). The application can be submitted in German or English by May 22, 2026. Dean’s Office in
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and apply for a collaborative project for university dentistry with an interdisciplinary orientation and a thematically focused research program. Close networking with the key areas of research within