18 computer-algorithm-"CNRS"-"Prof" PhD scholarships at University of Groningen in Netherlands
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specialist collaborator to guarantee adequate integration of perception and action; advanced motion-planning and control algorithms, continuously refined via robotic digital twins, enable reliable handling
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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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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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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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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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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
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skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric reactions. World-leading industrial partners with a wide range of interests will provide advice on which
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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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together academic research groups with expertise in experimental catalyst development and theoretical groups skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric