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are for 4 years and are fully funded. Two PhD candidates Are you a passionate and committed researcher with strong expertise in cutting-edge computational social science approaches? With a keen interest in
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Vacancies PhD position on: “Functional Membranes through advanced foaming” Key takeaways Within Membrane Surface Science (MSuS), part of the Department of Membrane Science & Technology (MST
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PhD Position in Explainable AI for High-Stake Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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Science Theory and Methodology (ICS) Graduate School. external link Your qualities We are looking for an enthusiastic candidate, who has (almost) finished a Master programme in Sociology, Interdisciplinary
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motivated and collaborative researcher with: a Master’s degree in Bioinformatics, Data Science, Statistics, Computational Biology, Epidemiology, Neuroscience, or a related field; experience in programming and
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organised into six programme clusters: Psychology; Artificial Intelligence; Pedagogical Sciences and Educational Sciences; Communication Science; Sociology; and Cultural Anthropology and Developmental
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PhD Position on Parameterized and Fine-Grained Complexity of NP-Hard Problems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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27 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Environmental science » Ecology Researcher Profile First
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Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
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the interdisciplinary MOMENTUM 3.0 programme funded by ZonMw, the project combines environmental exposure assessment, advanced analytical chemistry, behavioural science, and stakeholder engagement to generate knowledge