51 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "Dr" Postdoctoral positions at Nature Careers in Germany
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learning approaches for high-dimensional data, and programming skills in R or Python. Profile Track 2 – Experimental Immunology / Bone Marrow Biology / Trained Immunity Candidates with an experimental
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: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents Contact: Prof. Dr. Michele Wessa Phone: +49 (0
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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the Core Unit for Stem Cell Technology under the direction of Prof. Michael Ziller, Dr. Yotam Menuchin-Lasowski and Prof. Tanja Kuhlmann at the Faculty of Medicine of the University of Münster
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are seeking for the next possible date a skilled and motivated Postdoc for the Division of Personalized Immunotherapies Reference number: 2025-0293 The Division of Personalized Immunotherapy (headed by Prof. Dr
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, quoting the reference number 10/26-2.4 to: Bundesanstalt für Materialforschung und -prüfung Referat Z.3 - Personal Unter den Eichen 87 12205 Berlin GERMANY www.bam.de Dr. Dudek will be glad to answer any
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Eichen 87 12205 Berlin GERMANY www.bam.de Prof. Dr. Birgit Skrotzki will be glad to answer any specific questions you may have. Please get in touch via the telephone number +49 30 8104-1520 and/or by email
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strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python
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(e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C++ ability to work independently and collaboratively in
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among others do this through our gender equality plan and the cascade model measures which we actively implement to enable sustainable equal opportunities in academic career paths. The GFZ thus