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Published Wednesday 14 May 2025 Deadline Thursday 31 Jul 2025 Work area PhD Organisational unit Erasmus School of Social and Behavioural Sciences (ESSB) Salary € 2.901 - € 3..707 Employment 1 fte
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of Law, department Law & Markets, is looking for a PhD researcher in Digitalisation, AI-technology and LGBTQ+ Rights (4,5 years, with 20% teaching tasks). Job description The selected candidate will be
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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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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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internationally. • Participate in the Faculty of Science PhD training program. • Participate in the department’s educational programs, assisting in teaching and supervision of undergraduate or Master students
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
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 Mathematical Institute (MI) of Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a PhD Candidate in Random Graphs and Complex Networks
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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in real-world applications for energy storage and conversion. Tijs Karman Assistant professor in Theoretical and Computational Chemistry, Radboud University, Institute for Molecules and Materials Tijs
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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