71 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" positions at Technical University of Munich in Germany
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02.07.2025, Academic staff The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc (f/m/d) in Energy Informatics. You are passionate
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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. Essential
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your research at conferences, workshops, and through scientific publications. Your profile: ▪ You hold an MSc degree in physics, engineering, or computer science. ▪ You are very experienced in Python
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, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
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14.07.2025, Academic staff This opportunity is offered by the Chair for Philosophy and History of Science and Technology at the TUM School of Social Sciences and Technology (SOT). ABOUT US: The
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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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21.07.2023, Academic staff The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics of metrology
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to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign
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dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational