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; company holidays between Christmas and New Year's Day #very good compatibility private and professional life; offers of mobile and flexible work #free assistance program for employees (EAP) #corporate
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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application-inspired. To strengthen the Department Data Science in Bioeconomy, we are offering the following positions Two Postdoc Positions (100 %) in the Field of Artificial Intelligence. Together we develop
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 17 days ago
(imaging) data analysis is preferred. Prior experience in microscopy is desired but not required.) Development of 3D diffusion-based single-molecule sensors (the candidate with theoretical knowledge and
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 11 days ago
application Apply by September 15th 2025 through our job portal . For questions about the position, please contact Dr. James Marsh (james.marsh@tuebingen.mgpg.de ) For more information about our institute
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will be required to submit personal information. Please be sure to refer to the respective Privacy Policy of each institution. By submitting your application, you confirm that you have read and
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to accomplish something new — complemented by teamwork and fostering personal relationships. From assistants, students, researchers, postdocs to professors; we are all working hand in hand, are highly committed
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letter outlining research experiences and interests and two reference letters by July 15th , 2025 to Tobias Raisch at tobias.raisch@mpi-dortmund.mpg.de . Additional Information: The Max Planck Society (Max
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Familiarity with statistical analysis and interpretation of experimental data Experience in scientific writing, especially for publications and third-party funding applications Proficient English and, ideally
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fields Interest in immunology, systems biology and translational research Strong interest in mass spectrometry-based proteomics (prior experience advantageous) Proficiency in computational data analysis