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07.08.2025, Wissenschaftliches Personal The Business Analytics Research Group at the Center for Digital Transformation of the TUM School of Management, Campus Heilbronn, Prof. Dr. Jingui Xie, invites applications for the position of a Research Associate (PhD candidate) (m/f/d) on Analytics in...
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processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in
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19.11.2024, Wissenschaftliches Personal A PhD position (E13) in the fields of machine learning and game theory is available at the Department of Computer Science at TUM at the Chair of Decision
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27.05.2025, Wissenschaftliches Personal At the Technical University of Munich (TUM), we offer a Science Coordinator position (m/f/d) to shape, coordinate and manage the newly established Climate Center, to be filled as soon as possible. The successful candidate will be part of the Earth System...
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integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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of Bachelor and Master theses Your Qualifications Excellent Master’s degree in Information Systems, Computer Science, or a similar field Experience in Software Engineering Theoretical knowledge or practical
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programs offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures
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Germany for more than 12 months in the 36 months immediately before the recruitment date. Nationality: Open to all nationalities. Doctoral Programme Enrolment: You must be willing to enrol in a doctoral
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Computational Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implication in diseases. Applications of our work range from