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10.01.2022, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d
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of recommendation in one PDF document. Please send these under the subject “PhD Learning Soft Matter” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) by 15.02.2026. She will also be happy to provide you with
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27.04.2021, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and
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incl. list of publications. c) copy of your diploma/degree certificates. d) At least two reference letters (or the names of two referees). Interested? Please send your application via email with
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send your application as a single PDF file and use the subject line “Responsive Elastomers – [Your Name]”. The file should contain a motivation letter (1–2 pages) outlining your interests and how
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analysis (TEA) or an affinity towards these research questions. - Basic knowledge in bioprocess design, bioengineering and/or mathematic modeling - Affinity towards research question in life cycle
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture
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@tum.de Please send your application including a comprehensive CV, motivation letter and transcripts as a PDF file and stating the reference number 2025-19-S1/S2-KS/MK via email by 15.12.2025 to: Anja