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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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dynamic and innovative university offering high-quality teaching and research. Its 34,000 students are encouraged to develop their own individual talents through challenging study- and career paths
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in the Bachelor’s and Master’s programmes of the department at Utrecht University. Your qualities You are motivated about the research, take initiative to develop ideas, self-driven and can work
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at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide
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KNAW Early Career Award Behavioural Sciences, Social Sciences and Law Humanities More The KNAW Early Career Award encourages the further development of a diverse range of early career scientists and
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in Amsterdam is fully arranged and covered by the internship program. You will also receive a monthly stipend of 1200 euros to help cover your daily expenses. Requirements Include in your application a
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are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding HR Excellence in Research Tenure Track PhD EngD
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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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ages have. Her ideas have been an important starting point in developing the Kijkwijzer (the classification system for film, programmes and video games in the Netherlands). Her research explores how a