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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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of Clinical Movement Sciences) Project Overview: Join our dynamic team at YAG, where we specialize in motor learning—the process of using sensory systems to acquire and maintain movements. Our expertise ranges
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in motor learning—the process of using sensory systems to acquire and maintain movements. Our expertise ranges from large-scale body movements to fine-grained actions like speech. We bring diverse
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, Computer Science, Bioinformatics, or a related field. - Passion for machine learning, natural language processing, and biomedical data. - Strong analytical skills and a willingness to learn new techniques
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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