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architectural design explorations and the implementation of software development platforms. The goal of this PhD is to create a modular and extensible simulation infrastructure that facilitates design
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Job description In the global pursuit of safer and more autonomous mobility, a new frontier in automotive sensing is emerging. This PhD project focuses on developing a novel terahertz (THz) sensing
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance to develop
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Apply now Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance
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PhD candidate, you will contribute to both aspects, from studying the brain’s control of movement to applying these insights in the development of closed-loop brain–computer interfaces aimed
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background in process safety, quantitative risk assessment, and simulation methods. Experience in programming and/or safety analysis software. Familiar with process safety and security concepts, accident
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developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative machine learning solutions to optimize
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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, the PhD candidate will work closely with both other academics and practitioners to increase the understanding of the transition processes in practice and develop ways to better govern the collection