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well as collaborate in the teaching and tutorial sessions in courses on introductory and advanced Machine Learning within the Neurophysics Master’s degree programme at Radboud University. Your teaching load may be up
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Are you interested in writing to learn and learning to write in the age of AI? As a PhD candidate, you will investigate these topics at the intersection of (foreign) language learning and
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pathology applications, including the assessment of kidney biopsies. The innovative application of machine learning in clinical settings creates a vibrant and inspiring research environment. You will be part
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project FoRECAST, you’ll work independently and in a collaborative, diverse team. This is a unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the
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, including the possibility to work from home part of the week. At the same time, we expect regular in-person collaboration on campus to foster team interaction and shared learning. Radboudumc Welcome
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will work in an interdisciplinary environment at the TU/e Laboratory of Chemical Biology and the Expertise Center Clinical Chemistry Eindhoven (ECCCE), a collaboration between TU/e, Catharina Hospital
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-triggered Technological (NaTech) emergencies with cross-collaboration opportunities ” (HARMONI). The project is led by IDENER (Spain) and has 13 participating organisations from 7 European countries
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will accept with your supervisors, fellow technical-clinical PhD students, cardiologists, and industry collaborators. This project involves clinical implementation at Erasmus MC, technical development
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mechanisms. Work in a collaborative, interdisciplinary, and dynamic environment with leading experts in machine learning, computational biology, and neurogenomics. Access cutting-edge datasets, infrastructure
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This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University of Twente and the