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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop
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specifically targets protein molecules. You will combine knowledge on electrostatic interactions, fluid dynamics and machine design to develop a scalable process that has a technology readiness level of 6. You
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) CAR-T cell therapy is offered as a last resort. Its therapeutic potential could however increase if accepted as frontline/standard therapy, but this is currently considered ethically problematic
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dynamics. You have experience with programming and scientific software development; experience with C++ is an advantage. Experience with machine learning, 3D city modelling or urban reconstruction techniques
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to express the negator (‘not’) early rather than late in the utterance. You will learn to use multiple methods, including artificial language learning and EEG, collecting data from different language
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Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff
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1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple
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work on education and research in mechanical engineering, civil engineering and industrial design engineering. Together, we learn by making, creating, and innovating, addressing challenges in a solution
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for workers in hazardous recycling manufacturing environments, embedding participatory co-design, digital twin modelling, and mixed-reality training to shift from machine-centric to human-inclusive workplaces
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, such as visual methods, co-creation, and participatory design, to generate deep insights and develop impactful knowledge for societal challenges. Moreover, you will teach courses in consumer usage behavior