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will coordinate your work within an (inter)national network of collaborators, while working in an ambitious, motivated, multi-disciplinary team of veterinarians, clinicians, material scientists
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science, environmental modelling, geosciences, or related field with strong quantitative focus; Strong background in machine learning methods such as neural networks and transformers; Knowledge on handling
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at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine
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level). A positive attitude and good communication skills. Excellent interpersonal skills, with the ability to work in a team and on own initiative. Fluency in Dutch, both spoken and written, is required
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is one of 13 positions in the Marie Skłodowska-Curie Doctoral Network
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department at TU Delft (Faculty of Civil Engineering and Geosciences) and work closely with Dr Louise Nuijens and an (inter)national network of collaborators. QUASI offers a unique opportunity to combine
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, 2020 . In this PhD project you will work on applying RNPU networks for solving computational problems that are considered hard. Information and application Are you interested in this position? Please
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Vision-Language-Action (VLA) models
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industrial partners. You are a naturally curious person who is eager to learn more and has a strong interest in research. Excellent written and oral communication skills in English are a prerequisite. We
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, multi-disciplinary challenges. Eager to work within an interdisciplinary team of industry and academic researchers. Excellent communication and collaboration skills to work effectively within a large