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, X-ray optics, UHV technology, and electron-ion coincidence imaging techniques. We are currently looking for a Staff Scientist in Attosecond soft X-ray Science Key Responsibilities: Support and
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offer a PhD student position at the Universitat de Barcelona (as part of the PhD Program in Mathematics and Computer Science) to develop new AI and federated learning algorithms for diagnostic imaging in
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demanufacturing and advanced AI. Building on our infrastructure for product identification, computer vision, and lifecycle assessment, we will launch the REINFUSE project in 2026, a four-year Flanders Make SBO
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are
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Recognition, Image Processing, Natural Language Processing, Virtual Reality and Game, Robotics, Software Engineering, Programming Languages, Multimedia, Computer Graphics, and Visualization, etc. Job
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to: Regulations for awarding scholarships: https://www.fnp.org.pl/images/documents/Nabor%20FT%201-2025/PDF/2.2.1%20Zalacznik%203%20do%20UoD_Regulamin%20przyznawania%20stypendiow.pdf Selection process Complete
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Requirements Academic qualifications: PhD in Biomedical Engineering, Electrical Engineering, Computer Science, or a similar field. Minimum profile: Experience in biomedical signal processing., Knowledge
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 27 days ago
with excitatory opsins and implant fiber optic arrays to selectively activate only the dopaminergic populations of each subarea; To assess neuronal activity using intracranial calcium imaging, we will
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD level qualified in core molecular imaging technology Advanced knowledge of preclinical
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Reference Number AE2025-0420 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0420.pdf CALL FOR