223 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD positions in Netherlands
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Breeding and Genomics Group | WUR . Where to apply Website https://www.academictransfer.com/en/jobs/358906/phd-position-welfare-assessment… Requirements Specific Requirements You are a highly motivated
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machine learning packages (e.g.PyTorch). Completed academic courses in AI or machine learning. Interest in societal, ethical and philosophical questions. We consider it an advantage if you bring one or more
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you will: - Develop and train deep-learning
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is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
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actively contribute to meetings and gatherings of the Social Context of Aging group at the VU (https://vu.nl/nl/over-de-vu/meer-over/the-social-context-of-aging-soca ) ,the LASA research team in
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, electrical engineering or simila,r with an affection for machine learning; You are an independent and original thinker with a creative mindset; You are a fast thinker with excellent analytical and
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of (translational) neuroscience and applied physics and biomechanics, contributing to a project with major implications for health prevention in groups at high-risk of TBI, such as athletes and military personnel
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engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 5 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not
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relevant events. Where to apply Website https://www.academictransfer.com/en/jobs/359117/2-phd-positions-in-statistics/a… Requirements Specific Requirements Essential We are looking for someone with a
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industrial partners across Europe Network-wide training schools and workshops Supervision by leading experts in the field A personalized Career Development Plan Challenge-based learning principles Where