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Field
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-based control and decision-making for complex multi-agent systems. The project explores new computational frameworks that combine principled reasoning with the efficiency of modern machine learning
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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to your work duties after employment. Required selection criteria You must have a relevant Master's degree in Computer Science, Artificial Intelligence, Data Sciecnce (with a focus on machine learning
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—through advanced compliant mechanisms and smart material integration. Job description Soft robotics represents a transformative approach to machine design, emphasizing adaptability to unstructured
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Master's degree in Computer Science, Artificial Intelligence, Data Sciecnce (with a focus on machine learning) or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120
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history will not be used in compensation decisions. Benefits Summary Benefits include medical, dental, and vision insurance; short*- and long-term disability insurance; pension benefits*; 403(b) Employee
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-changing potential, developing scalable prototypes of a quantum computer and an intrinsically safe quantum internet. We are creating the quantum future, and we believe that quantum technology will be a game
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. An affinity with NLP and/or computer vision would also be welcome. You have experience with empirical research in speech technology, evaluating AI systems, and socio-technical factors of AI. You have an
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for the development of next-generation CAR T cell therapy for solid tumours. You will work with a wide range of methods, including molecular biology, culture of human T cells, CRISPR multiplexed genome engineering
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Netherlands Organisation for Applied Scientific Research (TNO). Together, we work on a radically new technology with world-changing potential, developing scalable prototypes of a quantum computer and an intrinsically safe