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Vacancies PhD position Sensor based modelling of social and physical activity in high schools Key takeaways In this PhD research, you will specifically focus on the design of machine learning and
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. Temper rolling is employed to eliminate the yield point phenomenon, but accurate prediction of the roll force during this process is challenging due to a lack of understanding of the underlying
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band score of at least 6.5, internet. TOEFL test (TOEFL-iBT) showing a score of at least 90, or a Cambridge CAE-C (CPE). About the department You will work at the Physics of Interfaces and Nanomaterials
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sustainable economic decision-making. Climate finance is critical in addressing physical risks by quantifying economic losses from climate-related disasters and developing financial instruments that enhance
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), and contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process and
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the right to close the application process early should we identify a suitable candidate before the deadline. About the organisation The Faculty of Engineering Technology (ET) engages in education and
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of the future. SOURCE will deliver the scientific knowledge, models and design tools to develop and evaluate nourishment strategies in a multi-stakeholder co-creation process. You will join a team of 12 PhD, Post
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the integrated effects of deviant OA risk gene expression in cartilage with the aim to develop effective disease-modifying therapies. As a PhD student, you will play a central role in this process by building
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, at the stack level. The multiscale cell and stack model will then need to be coupled to process models developed by project partner University of Groningen, to perform a techno-economic analysis of the large