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novel solutions, and a meticulous approach to research and validation A strong analytical and problem-solving mindset, with a keen interest in applying AI to solve complex challenges in personalized
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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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academic assignments at the chair What we look for in you Completed master’s degree in computer science, transportation, or related engineering fields Solid background in generative AI, machine learning, and
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applied in Africa’s livestock sector. This work will involve modelling analyses using methodologies to be developed by the candidate in collaboration with their supervisors. This is one of two positions
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scientists are expressly encouraged to apply. Applications Please send your applications to Jürgen Hauer via email (juergen.hauer@tum.de) until December 1st 2025. The position is suitable for disabled persons
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and simulation tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction
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Horizon projects NOVASOIL or INCITIS FOOD. The candidate will have the option to conduct research related to applied agricultural and natural resource economics, the economics of food systems in Africa
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exclusion study in Southern Germany which has undergone long-term drought treatments since 2014 (KROOF: https://www.lss.ls.tum.de/en/lsai/kroof/). You will use this unique experimental setup, in which drought
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The Chair offers a collaborative environment with strong engagement in applied and interdisciplinary projects. PhD students work closely with academic and industrial partners, contribute to open-source
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and encourage women to apply. Also possible in a part-time capacity. Remuneration group: TV-L E13 Start date: 2026-07-01 (limited to 3 years) Contact: Further information and details about the online