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Language Processing, Artificial Intelligence, Computational Linguistics or a related field; Strong background in NLP, machine learning, and deep learning. Excellent programming skills (preferably in Python), with
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programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch); Interest in interdisciplinary research (e.g., HCI
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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cells. You will be performing cutting-edge research and will have access to state-of-the-art facilities the Utrecht Biofabrication Facility external link . You will coordinate your work within an (inter
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
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sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise
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set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information
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successful completion of the PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School
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activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions. Therefore