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Field
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a leading research centre in industrial mathematics, modelling, simulation, optimisation, and data analytics. We operate at the interface between academic research and industrial needs, often in
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analysis, modelling & simulation and policy evaluation. The candidate will work under the supervision of Associate Professor Rohan Sweeney and Dr. Maame Esi Woode and other researchers at the Centre
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programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, on-campus
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professional experience and knowledge. Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any
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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