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Field
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This PhD project focuses on the development of next-generation autonomous train technologies that combine energy-efficient control with advanced environmental perception. You will explore how real
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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. Variational Autoencoders, Normalized Flows, Generative Adversarial Networks) Have experience in developing fast algorithms for hard combinatorial optimisation problems. Have some knowledge about stochastic
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decision-making, you will have the opportunity to develop your own insights, collect data, and share your findings with both scientific colleagues and partners from professional practice worldwide. Under
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to collaborate with industry partners, publish in top-tier journals, and develop innovative methodologies for real-world challenges in supply chain and operations. Key Responsibilities • Develop and apply
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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motors and braking technology, high-torque density axial flux electrical motors, development of servo controllers and algorithms, and special electrical machines such as superconducting electrical motors
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opportunities for lawyers to help shape the AI revolution itself. Do you want to develop the research expertise and skills to ensure that the benefits of AI systems are realised without introducing harm as the
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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better and faster decisions when assessing funding applications, ensuring the efficient and unbiased elimination of poor applications? This question can be addressed through training algorithms on past