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this project, the University of Twente (Biomedical Signals and Systems group) in collaboration with the top clinical hospital Ziekenhuisgroep Twente aims to develop such a health condition monitoring system
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strong translational and societal impact component. We are looking for enthusiastic and talented PhD candidates with Essential qualifications An excellent MSc degree in Biomedical Sciences, Molecular
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. A solid foundation in (biomedical) imaging, signal processing, and machine learning. Previous experience in ultrasound imaging is advantageous. Proficiency in programming languages such as MATLAB and
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evaluate the applicability of real-world data (RWD) for examining relevant outcomes and explores RWD's potential in signal detection and validation. Additionally, you analyse pre-withdrawal utilisation
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, ensuring the feasibility of the PhD timeline. The ideal candidate would have the following qualities Master's degree in the following (or related) fields: Biomedical sciences, Neurolinguistics, or Movement
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Master's degree in the following (or related) fields: Biomedical sciences, Neurolinguistics, or Movement Sciences. Knowledge of sensory and/or motor systems in the body is preferred. Experience and/or
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aggregate deposition on cartilage formation and organization, and cell signaling in vitro. This research project will involve close collaboration with medical doctors at the UMC Utrecht. You will have access
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this project, we aim to investigate the effect of including a social support figure during exposure. Notably, within learning theory, social support figures are typically categorized as “safety signals”, which
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DataSHIELD, Beacon or FAIR Data Point to create discoverability and analysis, and build new global collaborations. Your research will focus on leveraging state-of-the-art Large Language Models to drive
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, e.g. have group meetings, together with the PhD students who are already working on these topics and are co-supervised by Goeman and De Heide. If you apply to this vacancy, you can indicate you