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the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is
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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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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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will design, implement, and evaluate, within the framework of Design-Based Research, a professional development programme that supports STEM instructors in using AI effectively and critically in
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this challenge by developing mechanistic computational models. You will apply these models to recapitulate key aspects of intestinal development in the nematode Caenorhabditis elegans, which is an excellent model
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bacteria and plant. Project description We are hiring a PhD candidate to join our ERC-funded team on chronomicrobiology, a new field that bridges microbiology and chronobiology. The MicroClock program
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-driven experimentation. You may be a food scientist with strong computational skills, eager to integrate artificial intelligence into ingredient and product development. Alternatively, you may come from a
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suggestions for this innovative project in your motivation letter. This project is part of the 10-year EMBRACER research programme external link funded by the Dutch Research Council (NWO). At EMBRACER, we work
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-class expertise from eight Dutch Universities, five Research Institutes and relevant societal stakeholders that play a major role in research and management of the North Sea. The six-year program (2025
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded