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. The institution sets its own deadline for the admission process. Please inform yourself in plenty of time about the application process at the host institution. Further information For detailed information please
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on the collection and processing of personal data during the application process can be found on our website below the respective job advertisement.
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encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School
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master’s degree or diploma in physics, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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, K. M. (2025). Quantum-Centric Alchemical Free Energy Calculations. 1–35. http://arxiv.org/abs/2506.20825 [3] mimic-project.com Your Profile: University degree (master’s) in physics, chemistry
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protection: Please note the data protection information for applicants (m/f/d) according to Article 13 and 14 GDPR on data protection processing during the application process: https://www.ipb-halle.de/en
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-B4 Investigators: Prof. Dr. Meng Wang, Chair of Traffic Process Automation , and co-supervised by another expert in traffic control Requirements: excellent or very good university degree
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opportunities for professional and personal development VBL company pension Capital accumulation benefits Employee welfare (AWO) family service Application process Does this position appeal to you? The please
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associated PhD topics is highly encouraged Your profile Completed university studies (Master/Diploma) in STEM fields with strong background on process modelling, applied mathematics, process engineering