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through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research. In our teaching, we use the Problem-Based Learning (PBL
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Would you like to work at the intersection of transportation, robotics and machine learning to design mixed fixed-flexible transport networks? Job description The increase of public transport usage
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industrial application. It is part of activities in ARCNL’s Source Department. The research activities of the Source Department and its EUV Plasma Processes group aim at the atomic- and molecular-level
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Are you highly motivated to do PhD research in mathematical machine learning, with special emphasis on mathematical foundations for explainable AI? If yes, the Korteweg-de Vries Institute
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experiments as well as bioinformatics and advanced imaging techniques. Your core tasks are: Cloning and expressing recombinant proteins. Developing and optimizing purification protocols. Designing and
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excellent analytical skills and is highly motivated and rigorous. Has good technical understanding of (or ability to learn) research design and methodologies as well as advanced signal processing and
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, to form interdisciplinary collaborations across fields and geographical locations within the Netherlands, and to acquire skills by active participation in science communication activities, interacting with
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works closely with breast screening radiologists and industry to develop new and improve existing methods and processes in screening breast imaging. Our direct connection with the Dutch Expert Centre
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mass spectrometry based de novo sequencing, machine learning and AI-tools to interpret the data. Your job The primary objective of the project is to further develop mass spectrometry-based techniques
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Job description You will design, manufacture, test and validate two smart material systems/demonstrators: (i) a catheter for invasive surgery with shape and property morphing and (ii) an assistive