236 engineering-computation "https:" "https:" "https:" "https:" "UNIV" scholarships in Netherlands
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into industrial repair and remanufacturing practices. This large, interdisciplinary national research programme consists of 15 PhD projects which will contribute to the development of innovative methodologies
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-quality research on human behaviour. BSI has a strong tradition of linking fundamental and applied science from an interdisciplinary perspective in order to contribute to societally relevant research themes
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develop scenarios, integrate NO REGRETS data and simulation models, and connect interaction technology to the MSP Challenge. Your scientific contributions, both situated in the field of Human-Computer
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to enroll in the graduate training programme of e.g. the Netherlands Graduate Research School of Science, Technology, and Modern Culture (WTMC), the Sustainability Transitions Research Network (STRN
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in the field of educational sciences, with a focus on GenAI, reading comprehension, feedback, and self-regulated learning (SRL). This 4-year PhD project is situated within a broader research programme
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of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With
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Optimisation and Operations Research. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute
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with modern machine learning. You will work on extending data-driven models with process-informed constraints and novel data integration strategies. The position is embedded in the Computational
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, under the supervision of Dr. ir. Raffaele Sommese, Dr. Antonia Affinito, and Prof. Dr. Anna Sperotto. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS
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development, and ultimately regeneration. The key focus includes cardiac and renal tissue engineering. You will adapt techniques established in the lab, and develop new approaches, as well as new methods