194 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "Dr" "P" positions at Nature Careers in Germany
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Job Id: 11899 Fixed-term (3 years) | Part-time (65%) | Salary according to TV-L E13 | Department of Neurology (Chair: Prof. Dr. Dr. S. Meuth) We are UKM. We have a clear social mission and, with
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Developing advanced computational imaging algorithms Proof-of-principle experiments on complex nanomaterials and biological samples We are looking for candidates with a completed university degree in physics
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. Our Family Office provides advice on all issues relating to family, childcare, and caring for relatives. Our “Prof.-Programm” offers exclusive status-related exchange and consulting formats, in
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your talents Our Corporate Health Management Program offers a holistic approach to your well-being Contact: Dr. Ana Banito Phone: +49 6221 42-1581 The position is initially limited to 2 years with
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environment for balancing work and family life. For us, contributing to a healthier society in such an inspiring workplace is truly meaningful.“ Get to know us Benefits Career Development: Postdoc program
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Area of research: IT - Computing Job description: Senior Linux System Administrator (f/m/x) - Storage 102871 Full time, close to full time 35-39 hrs./week Neuherberg near Munich Partial Home Office
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participants Apply advanced analytical methods for integrative multi-omics analyses Implement state-of-the-art statistical and computational techniques for disease prediction Leverage extensive, high-quality
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full potential: targeted offers for your personal development promote your talents Our Corporate Health Management Program offers a holistic approach to your well-being Contact: Dr. Aynur Kaya Copur
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International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents Contact: Dr. Ulrike Hardeland Phone: +49 6221 42-1961 The position is
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts