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Field
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the same time, you will teach (20%) academically. Your teaching activities will take place within the programmes and courses of the Law & Markets Department. The particular teaching tasks will be decided
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to uncover the vital mechanism of selective IDP-mediated transport and thus answer one of the central questions in molecular cell biology. We collaborate with experts in cell biology and MD simulations. Job
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expected to uncover the vital mechanism of selective IDP-mediated transport and thus answer one of the central questions in molecular cell biology. We collaborate with experts in cell biology and MD
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simulations. Job Description Are you passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges? We're seeking a PhD candidate to develop innovative
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while also having the opportunity to collaborate with representatives from the water authorities and technology providers and also learn how sludge dewatering is taking place in practice. Keywords
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description This project addresses the effective design of a military supply logistics network, composed of transportation and communication links such as roads and rail, aerial drone routes, and nodes, such as
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Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C++); Proven interest in
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(or equivalent) in Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C
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, improved product quality, longer machine uptime, shorter lead times, and more resilient supply chains. In doing so, you will provide firms with evidence-based blueprints for sustainable AI implementation
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this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning