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Field
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mission by watching this short video (you will be taken to YouTube by clicking this link). About the Role Applications are invited for a Research Associate position in the School of Mathematics and
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to determine the applicant's suitability for the position. Potential candidates will be invited for an interview via video conference or in person. The selection process will continue until suitable candidates
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of a multidisciplinary project which brings together three research units: the Laboratory of Computer Science, Systems, Information and Knowledge Processing (LISTIC), project leader mainly located in
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). • Video curriculum and, if applicable, personal interview (max. 20 points). • Experience in the field (max. 15 points). E.g.: > 3 years (10 points), < 3 years (5 points). • Other merits (max. +5 points
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
the handling of natural hazards. The Land Change Science research unit studies patterns and processes of land systems and their dynamics over various spatial and temporal scales. The Forest Diversity and
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Deadline for applications: 31/01/2026 Application process open
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19 Dec 2025 Job Information Organisation/Company Universitat de les Illes Balears Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc
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at the intersection of active transportation safety and AI (e.g., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision
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(e.g., GPS, IMU, force plate, video-derived data). Applied knowledge and understanding of the training process of professional athletes across performance and rehabilitation contexts. Data management