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, and the public to join us, through educational programs, artistic collaborations, and museum partnerships. We’re searching for answers to life’s biggest questions, and we need your help. As part of
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in collaboration with diverse partners and stakeholders, contributing not only to academic output but also to visible societal change. The PhD project is part of the “Wad Gaat Om” program, which aims
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initiate new research projects; you are creative thinker and initiator with the energy to move projects forward in a positive and constructive way; proficiency in written and spoken English and preferably
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law, international and European Union law and commercial law. Most of the bachelor teaching is in Dutch, while most of the master teaching is in English. PhD position: Digitalisation, AI-technology and
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
, and the public to join us, through educational programs, artistic collaborations, and museum partnerships. We’re searching for answers to life’s biggest questions, and we need your help. As part of
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environmental and climate impact. Together with Dutch farmers, ReGeNL is a transdisciplinary program developing a future-proof agricultural sector in which agriculture goes hand in hand with soil health and
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/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies
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-year PhD program, you will join a collaborative research team applying cutting-edge methods from Experimental/Behavioral Economics alongside modern macroeconomic modelling techniques (e.g. DSGE). You'll
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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. Knowledge of linear optimization techniques for analyzing energy systems. Proficiency in programming, ideally in Python or similar languages, with a focus on open-source modeling and handling large datasets