54 computer-computer-graphics-"Prof" PhD positions at University of Groningen in Netherlands
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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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nanoscience. Our community has an open and informal character with students and staff from around the world. The position we offer will be based at the research unit Integrated Research on Energy, Environment
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theoretical perspectives on knowledge exchange, communities of practice and identity formation. Under the daily supervision of Prof. Daan Raemaekers (ceramic archaeology, Neolithic) and dr. Stijn Arnoldussen
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Prof. Michele Cucuzzella, and the candidate will be embedded at the Engineering Technology Institute of the University of Groningen (ENTEG). ENTEG research is highly multidisciplinary in nature and
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of the Open Competition Domain Science-M programme (Twenty-one innovative research projects awarded through Open Competition Domain Science-M programme | NWO - https://www.nwo.nl/en/news/twenty-one-innovative
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dissecting RNA structure ensembles in living cells. Particularly, you will: Develop novel methods (both wet and computational) for the accurate interrogation of RNA 2D and 3D structures in living cells. Apply
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Philosophy), with Prof Felix Budelmann as promotor. You will be asked to: Complete the PhD in the specified timeframe (4 years) Conduct a total of 0.4 FTE teaching spread over the second, third and fourth year
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collaborating with partners and stakeholders within and outside the project. Writing and defending a PhD thesis within four years. Participate in teaching tasks as part of the program. In the context
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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