222 machine-learning "https:" "https:" "https:" "https:" "The Open University" PhD positions in Netherlands
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. Methodological Approach Candidates will develop and apply state-of-the-art machine learning techniques, including deep learning, representation learning, variational autoencoders, and graph-based models. A strong
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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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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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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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to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position. Where to apply Website https://www.academictransfer.com/en
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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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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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disconnectivity in brain networks relates to symptom networks and recovery trajectories in psychiatric patients. Apply and further develop methods from network science, machine learning, and computational
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interest in interdisciplinary research at the intersection of AI and neuroscience (NeuroAI), and human vision; A background in machine learning, deep learning, and/or representational alignment research
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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