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part of our community. The department of Physics external link hosts a unique group of scientists and supporting staff addressing problems in physics, from the smallest scales of elementary particles
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computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
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reputation for carefully designed and precisely controlled experiments, high quality temporally and spatially resolved field experiments using particle image velocimetry combined with synchronised measurements
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opinion dynamics. Our goal is to gain a deeper understanding of phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods
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Search results (7380) Showing results 1 to 10 Hide Filters Simple view Sort results Newest offers first Oldest offers first Deadline JOB France Galaxie - Ministere de l'Enseignement Superieur et de
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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
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labs to measure more complex properties such as foaming, phase separation or particle formation, and fine-tune our AI models. In this project, you will combine a deep knowledge of physical chemistry with
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, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively-controlled structural colours
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motility in a dense suspension of soft particles mimicking a collection of biological cells, to characterize trypanosome swimming through elastic networks with different pore sizes and elastic properties
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-22 eV or better, and powerfully test the Standard Model of particle physics. They further constrain CP-violating new physics at scales of 10-100 TeV, far beyond the reach of the LHC. The TUM and the