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Are you passionate about applying quantum computing to addressing real-world challenges? Join us to develop quantum optimization methods that support the transition to sustainable and resilient electrical power systems! Information The power and energy systems community is increasingly...
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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base in science and technology studies. KiTeS is dedicated to analysing and improving the contribution of Knowledge to Transformations in Society to address intersecting societal and environmental
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an important function in the initiation of embryogenesis. The Team In this collaborative project, you as Postdoc will work together with a PhD candidate, and a part-time technician, to address different aspects
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are looking for candidates with: A PhD in Operations Research, Applied Mathematics, Mathematics, Engineering, or a related field. A background in logistics (preferred). Strong writing and presentation skills in
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Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola. This is an interdisciplinary project at the intersection of NLP, Digital Humanities, and Semantic Web technology. Millions
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sciences in our research. Qualifications The successful candidate has a PhD degree in (Historical) Demography or a related discipline (sociology, geography, economics). Expertise with register data
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institutes (Tilburg University, Eindhoven University of Technology, Utrecht University, University of Twente, Delft University of Technology, Avans University of Applied Sciences, TNO) and several societal
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embedded within the Groningen Research Institute of Pharmacy (GRIP), Department of Pharmaceutical Technology and Biopharmacy (PTB, https://www.rug.nl/research/pharmaceutical-technology-and-biopharmacy
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The successful candidate has a PhD degree in (Historical) Demography or a related discipline (sociology, geography, economics). Expertise with register data, statistical methods of analysis, and GIS are required