219 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" scholarships in Netherlands
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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
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) and follow courses at the Graduate School of Life Sciences and/or Philosophy; you will also teach Bioethics and Medical Humanities courses at the Faculty of Health Sciences. Where to apply Website https
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of related events and activities. In addition, they may be given a temporary appointment at the University to design and teach an undergraduate course in the general area of their interest. Requirements A
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skills in English (C1); good communication skills and a willingness to collaborate within an interdisciplinary research programme. Dutch proficiency (B2), or willingness to learn Dutch, is required due
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artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline Demonstratable background in machine learning, information retrieval or natural language processing
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details https://www.mbnresearch.com/MS-RADAM/DC-research-projects https://www.rug.nl/research/gradschool-science-and-engineering/ Work Location(s) Number of offers available1Company/InstituteUniversity
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Breukelen, Dr. Yvette de Haas, Prof. Dr. Roel Veerkamp (WUR-ABG). See the link to site Chairgroup Animal Breeding and Genomics Group | WUR . Where to apply Website https://www.academictransfer.com/en/jobs
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at scientific conferences and by writing scientific articles and a PhD thesis; attending PhD courses as part of the graduate education program. Where to apply Website https://www.academictransfer.com/en/jobs
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learn about many interesting projects related to your PhD, in particular those of the strontium BEC group and of the hybrid atom-ion group . Your PhD project will profit from synergy with all
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quantitative methodological skills in handling detailed spatial data, including various econometric techniques and machine learning approaches; a thorough understanding of empirical, explanatory research; a