217 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" PhD positions in Netherlands
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the European or Caribbean territories (the public entities Bonaire, St. Eustatius and Saba and the autonomous countries Aruba, Curaçao and St. Maarten) of the Kingdom of the Netherlands for more than 12 months
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well as the HERITOUR consortium. Job requirements To be eligible, a candidate must have: Not resided or carried out their main activity in the European or Caribbean territories (the public entities Bonaire, St
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. Contribute to Europe’s photonics ecosystem through involvement with PITC, JePPIX, and Chips for Europe initiatives Where to apply Website https://www.academictransfer.com/en/jobs/358372/phd-on-compact-models
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about 5%. Where to apply Website https://www.academictransfer.com/en/jobs/358945/phd-position-factual-belief-pol… Requirements Specific Requirements Required: You hold (or expect to obtain before starting
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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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and international partners. Where to apply Website https://www.academictransfer.com/en/jobs/358420/phd-position-in-micro-robotics/… Requirements Specific Requirements You hold a Master’s degree in
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of Technology and one part-time professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The text
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transcription-coupled and other nucleotide excision repair–related DNA repair mechanisms (https://lanslab.eu/publications/ ). This project builds on our previous findings that persistent DNA repair intermediates
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concepts into measurable, reusable methods. Context: You will contribute to the ERC Starting Grant GAMECHAR (Scalable AI-Driven Framework for Gameplay Characterization; https://cordis.europa.eu/project/id
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differences in learning, memory, and processing between these systems. This project develops the necessary methods to study how smart AI-models are compared to people, now and in the future, and sheds light on