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Qualification portfolio. You will be part of the WECARE research team, led by Dr Sonja Marzi (PI). Your supervisors will be Dr Sonja Marzi, Dr Tine Davids and Dr Edwin de Jong. Would you like to learn more about
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times of societal crisis. You will join a vibrant academic community and benefit from interdisciplinary collaboration across social psychology, sociology, and public health. As part of a collaborative
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. At UM, you make the difference— are you looking for a chance to shape the future of accounting research in a collaborative and intellectually stimulating environment? We would love to hear from you
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interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and
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to investigate aardaker growth, development, and environmental responses under controlled and field conditions. Develop speed-breeding protocols and plant resilience assays, and collaborate with soil, drought, and
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is embedded in an international academic–industrial collaboration and targets fundamental questions in end-to-end autonomous driving and neural view synthesis. Your work is expected to lead to
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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and/or rebound effects Proven skills in qualitative design research, in particular research through design/constructive design research and experience with academic paper writing Good collaboration and
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is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
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universities, industry, hospitals and research institutes to train 18 Doctoral Candidates (DCs) in a highly interdisciplinary and collaborative environment. About the ThromboRisk Network ThromboRisk is built