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Field
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several key academic and industrial partners. You will be part of a diverse and passionate research team of academic staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group
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through a self-learning chip prototype, improving performance and durability in automotive applications. Specifically, this PhD project focuses on memristive materials as electronic realizations
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to investigate the flow physics. You will also construct a prototype to test the performance using an in-house 3T magnet. The turbulent pipe flow will be characterized using modern optical methods, over a large
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& Image Sense lab (VIS lab), at the University of Amsterdam. VIS lab is a world-leading lab on Computer Vision and Machine Learning, and has over 30 PhD students, postdoctoral researchers and faculty
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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information of subcellular structures and biomolecules. The PhD candidate will be employed at the Department of Precision and Microsystems Engineering (PME) and work in close collaboration with the Department
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Unravel the complexity of valve disease in heart failure using Digital Twin technology. Help transform how cardiologists decide when and how to treat patients through personalized computer
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staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group. Curious to learn more about the project, and perhaps our group? Feel free to browse our webpages: Job requirements For
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Observation Programmes and in particular with the Copernicus Hyperspectral Imaging Mission for the Environment (CHIME) project and Mission Science team. You will be part of the ESA Φ-lab. Our mission is to
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can navigate institutional complexity to foster institutional change that supports a demand-shaping paradigm. The PhD researcher will: Conducting institutional analyses on the organizational and