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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
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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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will be embedded within the research programme Marketing at the Faculty of Economics and Business (FEB). The project will be supervised by Marijke Leliveld and Kim Poldner. The ideal candidate is highly
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Organisation Job description As a researcher, you will play a key role in developing and implementing the DNPP’s research programme. Your responsibilities will include conducting independent and
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it’s exploring how technology influences human behaviour or leveraging data and innovation to transform industries and communities, we ensure that technology serves people – and not the other way around
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couplings—a key technology for achieving passive, high-precision, and deterministic alignment between precision components. Unlike active alignment methods that rely on actuators and sensors, kinematic
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Dr. Gunnar Mallon (physical geography and data science). To maximise impact within Fertile Soils, collaboration with Wageningen University and/or another knowledge institution in the project is
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roots and shoots. Some of these microbes help the plant in suppressing insect herbivory directly, by reducing insect fitness, or indirectly by inducing plant defense. Many facets of these insect-plant
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, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring education. We do so, driven by curiosity and
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department. Information and application Are you interested in this position? Please send your application via the 'Apply now' button latest on August 15, 2025 and include: A cover letter (maximum 2 pages A4