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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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of the host organisation for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for
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for system and circuit simulation, apply modern analog/RF design methodologies, and participate in measurement and characterization of prototype chips. The project encourages creative thinking and
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contests to facilitate the generation, development, and implementation of new products, services, processes, and business model ideas. However, out of a pool of submitted ideas, typically only a few will be
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cancer prevention and improved survivorship. The project advances a paradigm shift: transport is no longer a source of negative impacts – such as safety issues and adverse health effects, but rather a
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, actuation, and control. The research includes the design, fabrication, and experimental validation of micro-scale robotic platforms, integration of optical and imaging-based feedback, and development
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will validate. You will derive model parameters from experimental imaging and use inverse modeling techniques to measure microthrombi deformation under flow. Hybrid Research: You will study wall
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patients with cardiogenic shock and cardiothoracic surgery. You will work at the frontline where engineering, physiology, and critical care converge to shape the future of life-saving therapy. PhD Position
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force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute significantly
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groups, and collaborative writing processes. Your qualities The ideal candidate for this PhD position must have: a Master’s degree in a relevant scientific discipline in the Humanities or Social Sciences