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publicly available datasets and in-house generated single-cell data. The research is performed in an interdisciplinary setting with close collaboration with mathematicians as well as experimental and
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systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor
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teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department
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of cardiovascular diseases. You will work independently to develop mechanistic models that describe dynamic processes of the microcirculation and analyze large data sets using statistics and deep learning
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radar aeroecology, analysing weather radar data to answer biological questions. The work will involve processing and analysing large amounts of data, writing publications, and actively seeking external
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, MMTC aims to be a meeting place and service provider to academia, practitioners and the wider society. Working tasks As a PhD student you join a vibrant research environment. For more information about
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to the current research project Quality of Master thesis Communication and collaboration skills Personal characteristics relevant to research work For further information about specific doctoral education, see
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learning, data integration, and model evaluation in collaboration with industry partners for real-world impact. About us The Department of Computer Science and Engineering at Chalmers and University