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, the research adopts an inductive, mixed-method approach which may integrate digital ethnography, (non-)participant observation, semi-structured in-depth interviews with media producers and consumers, critical
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, Mathematics and Computer Science (EEMCS). We work on next-generation power electronics, energy systems for smart grids, advanced battery electronics and management, power devices, power and energy measurements
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similar field; expertise in programming skills and statistical data analyses, including machine learning; affinity with environmental exposure modelling and high-performance computing; strong reporting and
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-MWM) develops and applies holistic approaches which promote sustainable and resilient management of water systems. About the organisation The Faculty of Geo-Information Science and Earth Observation
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people across disciplines and with a variety of perspectives and backgrounds. The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics
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(Health and Society Group) and Prof. Arjan Stegeman (Faculty of Veterinary Medicine, Utrecht University). Your qualities A completed (or about to be completed) MSc degree in data science, computer
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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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. The project will be carried out in collaboration with an industrial partner under the umbrella of the Industrial Focus Group XUV Optics where a multidisciplinary research program on growth, characterization
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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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skills in English. (Desirable) advanced reading skills in Arabic or other relevant languages. (Desirable) training in intellectual history methods. In accordance with the Collective Labour Agreement