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and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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letter (< 1 page), names and addresses of three referees and be send preferably by e-mail under indication of reference number until July 31th 2025 to Prof. Rayk Behrendt (behrendt@uni-bonn.de). Prof. Dr
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31th 2025 to Prof. Rayk Behrendt (behrendt@uni-bonn.de). Prof. Dr. rer. nat. Rayk Behrendt Institut für Klinische Chemie und Klinische Pharmakologie Universitätsklinikum Bonn Venusberg-Campus 1 53127
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preferably by e-mail under indication of reference number until June 30th 2025 to Prof. Christoph Wilhelm (christoph.wilhelm@uni-bonn.de). Prof. Christoph Wilhelm Institute of Clinical Chemistry and Clinical
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research environment For inquiries, please contact: Univ.-Prof. Dr. Friedemann Kiefer, fkiefer@uni-muenster.de Apply now via our career portal until 30.07.2025, including: Cover letter describing your
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
the TüDiLab - Prepare competitive grant applications for third-party funding - Collaborate with researchers from the Tübingen School of Education (TüSE; https://uni-tuebingen.de/en/einrichtungen/zentrale
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infrastructure, international and collaborative research environment For inquiries, please contact: Dr. Maria Florencia Sánchez, mf.sanchez@uni-muenster.de Apply now via our career portal until 18.06.2025.