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achieved consensus. The PRELIFE consortium brings together leading researchers from a wide spectrum of disciplines—including astronomy, biology, chemistry, computer science, earth and planetary sciences
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dedicated Master's program in Ecology and Evolution that offers extensive fieldwork opportunities. Furthermore, the university-wide Rudolf Agricola School for Sustainable Development engages FSE members in
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
methodologies. Organisation Founded in 1614, the University of Groningen enjoys an international reputation as a dynamic and innovative institution of higher education offering high-quality teaching and research
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their leading research and inspiring teaching. At Utrecht University external link , the various disciplines collaborate intensively towards major strategic themes external link . Our focus is on Dynamics
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established an international reputation as a dynamic and innovative university offering high-quality teaching and research. Its 34,000 students are encouraged to develop their own individual talents through
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skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric reactions. World-leading industrial partners with a wide range of interests will provide advice on which
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together academic research groups with expertise in experimental catalyst development and theoretical groups skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric
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Fellowship Programme (EVOLVE – EVOLVE Fellowship Programme), an initiative by six world-leading research institutes of two universities in The Netherlands (University of Groningen, Leiden University) to study
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consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We