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will also work in close collaboration with a partner group specialized in 2D materials (Goswami group) and a theory group (Wimmer group) for numerical simulations. We welcome applications from motivated
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for Gender, Sexuality and Difference dedicated to cross-disciplinary gender research, the Centre for Language and Technology focusing on language technology and Natural Language Processing and the Center
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implemented to collect additional data for incorporation into the Health Passport. Advanced data analysis techniques, including synchronisation, correlation analysis, feature extraction, and signal processing
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of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after
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methods to produce more accurate, equitable, and clinically useful models. The project offers opportunities to work with large linked electronic health records, advanced statistical methods, simulation
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skills in one or more scientific computing environments, such as Python, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody
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processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We
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qubits that build the quantum information processing machines of the future? Do you want to embed qubits in scalable systems and help bring quantum technology to real-world applications? We are seeking
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information (e.g. 3D building models), enabling safe autonomous navigation in complex urban environments. The algorithms will be validated using realistic simulations and experimental measurements obtained from
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hold a MSc in electrical engineering, materials science, applied physics or other relevant fields. Prioir experience in cleanroom processing and/or thermal or material analysis is highly recommended. TU