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Field
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designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks
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individualized diagnosis and prognosis. As part of the ENSEMBLE Project—a multinational study funded by the Fondation Paralysie Cérébrale—you will help develop a machine learning-based multimodal prediction tool
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), the Department of Transport and Planning at TU Delft, and Mobility Car Sharing. Job description The main objective of this PhD position is the investigation and application of methods for evaluating the impact of
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from February
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. This PhD position is offered in
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, indicators and survey information. The division combines structural macroeconometric modelling with data-science methods for nowcasting, high-frequency indicators construction, machine learning, time-series
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discipline (computer science, neurosciences, biology, cognitive sciences) • Skills in perception psychology, neurosciences, machine learning, tracking technology and/or computer graphics as well as interest in
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. There will be a requirement to teach in undergraduate laboratories and tutorials as part of the scholarship. Tasks: The successful candidate will be involved in: 1. Applying first-principles and machine
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in Mechanical or Electrical Engineering, Computer Science, or a related field. Fluency in at least one common computer programming language is required. English fluency is expected. The candidate must
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models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks that support the human learning and improving