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a research team and with collaborators to accomplish the goals of the project. The project offers opportunities for international conferences and research mobility. Your network and team The CMAT
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of service. The project is conducted in collaboration with two clusters at the Department of Mathematics and Computer Science of TU/e: Data and Artificial intelligence . Novel learning algorithms will
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; Flexible, readiness to interact and/or collaborate with other researchers; An open mind regarding mathematical projects; Professional command of English and the willingness to learn Dutch; A willingness and
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, reports and other deliverables; good analytical, writing and presenting skills; fluency in English, both written and spoken, and the willingness to learn Dutch (in case you are not a Dutch native speaker
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
interacts with the prefrontal cortex to integrate interoceptive signals and guide higher-order cognition. Combining ultra-high-field layer fMRI at 9.4 Tesla, diffusion MRI, and machine learning in humans with
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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC
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environments where terrain can change abruptly. However, formally certifying these opaque learning-based components demands impractical resources, presenting critical safety assurance challenges and delaying
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available in the group of Prof. Tristan Bereau at the Institute for Theoretical Physics, Heidelberg University, in collaboration with the group of Prof. Ullrich Köthe (IWR Heidelberg, ELLIS). Project
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evidence to support the evaluation of AI and machine learning models. This may include investigating data-centric AI strategies, such as data quality assessment, annotation refinement, dataset curation, and