56 assistant-professor-and-human-centric-computing PhD positions at Technical University of Munich in Germany
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota
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institute’s teaching in tutorials and seminars • Enjoyment being initiative and liaising with people in the workplace • Will to achieve the Ph.D. degree (Promotion) Tasks As a research assistant, you will be
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-performance technologies to investigate the complex interplay between the human organism and food ingredients. The research group Mechanoreceptors/ Section II at Leibniz-LSB@TUM is currently looking for a PhD
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of human tissue resident T-cells and their crosstalk with the microenvironment in settings of solid organ transplantation, infections or cancer within our ERC-funded project. The project will be conducted
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the courses Advanced Mathematics 1–2 and/or Statistics at the TUM Campus Straubing. Your profile: Above average master’s degree in mathematics or (theoretical) computer science with a focus on discrete
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21.05.2024, Wissenschaftliches Personal Topic: Dissecting the body-wide spatio-temporal organisation of human resident T helper cells Current immunomodulatory drugs act systemically, but lack tissue
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and Master’s students in Informatics and Data Science. Supervise Bachelor’s and Master’s theses. We Offer Practice-oriented research projects with leading academic and industry partners (like Google
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23.07.2025, Wissenschaftliches Personal The Ecosystem Dynamics and Forest Management Group at the TUM School of Life Sciences, Technical University of Munich studies how forests change in time and space. We quantify these changes, identify their causes and describe their impacts on biodiversity...
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resource efficiency. A physics-based model for monitoring the condition of helicopter components is being developed as part of this project. With the help of flight test data, this model is to be calibrated
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to the computational complexity of climate models, these will be replaced by physics-informed deep learning surrogates in the aforementioned model coupling. The project will initially focus on one main application