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these questions, the project will involve computational modelling and experimental work, jointly supervised by Martin van Hecke and Yoeri van de Burgt. With this research, we aim to redefine physical computation
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with rapid binary-population synthesis codes to detailed stellar evolution calculations with 1D stellar evolution codes. The models you develop will be directly linked to new and upcoming observations
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are looking for an outstanding and enthusiastic PhD candidate who has expertise and/or interest in modelling and design of electrical machines and drives, with an MSc degree related to this areas: electrical
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bacterial metabolic function is involved and could be targeted in the context of immune training? Do you enjoy working in a lab with preclinical in vitro human models? Then this position might be perfect
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Systems under the supervision and guidance of Henk Polinder. Job requirements We are looking for an outstanding and enthusiastic PhD candidate who has expertise and/or interest in modelling and design of
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training? Do you enjoy working in a lab with preclinical in vitro human models? Then this position might be perfect for you! Join us! Over 100 million infants are born worldwide every year. Immediately after
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, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even predict the occurrence of clinical adverse events like
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collaboratively in an interdisciplinary, multicultural research environment. Strong analytical skills, with experience in statistical analysis, geospatial data processing, or modelling of socio-environmental
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active exploration has the potential to advance the development of multi-sensory interactive technologies and the innovative design of immersive systems, as well as the modeling of intelligent adaptive
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, development of data (pre-)processing pipelines, and machine learning model training to identify relevant biological states of the liver (e.g., healthy, recovering, not healthy). The (soft) sensor development