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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
, physical engineering, technical computer science, electrical engineering or similar Salary group E13 TVöD Temporary contract until 31.12.2027 Full-time / suitable as part-time employment The Bundesanstalt
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The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than 40 research groups and some 1,000 employees
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collaboration in research networks Your profile PhD in Bioinformatics, Computational Biology, Systems Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with
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, microbiology, or computational science. Further information about available projects can be obtained by email to Prof. Franziska Faber (franziska.faber@uni-wuerzburg.de ) and Prof. Jörg Vogel (joerg.vogel@uni
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the field of polymer science or a comparable field of study Salary group E13 TVöD Temporary contract until 30.06.2028 Full-time / suitable as part-time employment The Bundesanstalt für Materialforschung und
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of Ophthalmology at the UKM and the Institute of Pharmaceutical Technology and Biopharmacy at the University of Münster, focuses on the treatment of retinal calcifications, which play a role in the rare disease
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scientific results at conferences and in peer-reviewed journals Requirements Excellent doctoral degree in neuroscience or biophysics Experience in molecular biology, biochemistry, and electrophysiology; data
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Your profile: Strong background in molecular and cellular biology techniques Experience with experimental design, data analysis, and scientific writing We offer you: EGYM well pass, corporate benefits
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in developing interfaces to sensor systems or databases Experience with sensor technology and real-time data integration Practical experience in marine environments, ideally supplemented by knowledge
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, Molecular Medicine or a related discipline a high interest in immunological research questions profound experience with Drosophila work experience with large biological datasets and omics data, ideally (scRNA