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Field
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to assess patients’ recovery process, detect or even predict the occurrence of clinical adverse events like delirium, cardiac arrhythmias and pneumonia among elderly after hip fracture surgery. To obtain
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contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even
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explain the emergence and effects of urban governance, you will analyse the process of decision-making and the implementation of policies in the context of power relations, political ideas and wider
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with the following qualifications, knowledge, and skills: A master’s degree (or equivalent) in computer science, human-computer interaction, traffic engineering, or related fields. A solid background and
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, Computer Science, Mathematics, Physics, or related field; Strong interest in cardiovascular physiology and computational modeling; Programming experience (preferably MATLAB, Python, or similar); Enthusiasm
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) Country Netherlands Application Deadline 31 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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About the department, institute, project The Broedersz group is part of the Section for Physics of Living Systems within the Physics department at the VU Amsterdam, one of the best universities in
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About the department, institute, project The Broedersz group is part if the Section for Physics of Living Systems within the Physics department at the VU Amsterdam, one of the best universities in
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, in collaboration with the NanoElectronics (NE) group at the University of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart
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properties from imaging data. Integrate theory, computation, and hands-on experiments in a highly interdisciplinary setting. Collaborate across disciplines to push the boundaries of soft matter research. What