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Field
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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
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at what you need, and draw up a development plan. This position is a good fit for you if you recognise yourself in the following: A Master’s degree in organisational science, psychology, communication
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will look together at what you need, and draw up a development plan. This position is a good fit for you if you recognise yourself in the following: A Master’s degree in organisational science
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, or modelling of socio-environmental systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and