71 applied-harmonic-analysis PhD positions at Technical University of Munich in Germany
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sustainable packaging materials and textiles. However, its use in mass production is limited by its inability to melt like conventional thermoplastics. This limitation arises from the strong intermolecular
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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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30.06.2025, Wissenschaftliches Personal The Chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for outstanding candidates
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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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candidate, you have an outstanding Master's degree or comparable degree in biology, physics, applied mathematics or related disciplines. As an experimental candidate you have experience in biological systems
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for clinical use. The Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) and the Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich are an integrated, multi
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the BMBF. ▪ You will contribute to the daily operations of our new experimental laboratory at the Center for Quantum Engineering (ZQE – www.zqe.tum.de). ▪ You will supervise and mentor Bachelor’s and
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
. The Chair for Efficient Algorithms offers a collaborative environment that combines strong theoretical foundations with a deep engagement in applied and interdisciplinary projects. PhD students are encouraged
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, information theory, statistics, real/functional analysis, statistics. - Excellent programming and software engineering skills at least in Python and in relevant machine learning libraries (at least one of