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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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life sciences or biomedical sciences. You have hands-on experience in one or several of the following areas: organoids or embryo models, genome-wide approaches (sequencing-based, proteomics
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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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. Temper rolling is employed to eliminate the yield point phenomenon, but accurate prediction of the roll force during this process is challenging due to a lack of understanding of the underlying
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Foundations for Explainable AI”, funded by the Dutch research council (NWO). You will be part of a team with another PhD student and two consecutive postdoctoral researchers, supervised by Dr. Tim van Erven
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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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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java