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quantitative research methods and will be conducted in close collaboration with hospitals and partners in the North of the Netherlands as part of the Care2Change consortium. Your tasks as a PhD candidate are
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couplings—a key technology for achieving passive, high-precision, and deterministic alignment between precision components. Unlike active alignment methods that rely on actuators and sensors, kinematic
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Introduction Description of the research program Transplantation is the preferred treatment for patients with end-stage kidney disease. However, many transplanted kidney transplants fail prematurely. This leads
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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scholars who have made valuable and innovative contributions to science or scientific practice. These contributions may relate to the themes identified in the Recognition & Rewards programme : research
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newly collected survey data, which you will link to CBS register data, using advanced statistical methods. The data collection will be executed by KBA in collaboration with NCO, but you will be involved
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assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, or (very) similar. Self-drive, creativity, rigor, sense of ownership, and excitement to push
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health behaviour. Using a novel combination of deep learning, street view imagery, and epidemiological methods, we aim to identify the most effective urban exposure modifications. This research will
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have long-term consequences for the enslaved people and their freed descendants? The project will apply advanced empirical methods (e.g. structural estimation) in finance and economics to study these
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fluctuations.The methods will crucially support the development of stochastic bifurcation theory. During the PhD, you will initially work on a pre-specified subproject of your choosing, which allows you to develop