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3 Apr 2026 Job Information Organisation/Company KU LEUVEN Research Field Technology » Nuclear technology Researcher Profile Leading Researcher (R4) Established Researcher (R3) Application Deadline 1 Sep 2026 - 23:59 (UTC) Country Belgium Type of Contract To be defined Job Status Full-time Offer...
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27 Feb 2026 Job Information Organisation/Company KU LEUVEN Department WAVECORE/Electronic Engineering Research Field Engineering » Electronic engineering Researcher Profile First Stage Researcher (R1) Application Deadline 6 Mar 2026 - 23:59 (UTC) Country Belgium Type of Contract Temporary Job...
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Architecture Search (NAS) that can automatically design efficient deep learning models optimized for specific embedded hardware platforms. These models will be deployed in resource-constrained, standalone
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sciences » Other Computer science » 3 D modelling Computer science » Informatics Computer science » Modelling tools Computer science » Systems design Engineering » Biomedical engineering Medical sciences
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of metabolism. You have extensive experience with animal models as well as cell biology assays. Experience with omics-techniques is preferred. You have a strong track record, proven by publications in prominent
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to complications in about one-third of adult patients. You will be part of a project that uses both animal models and patient data to develop a better understanding of the changes in blood and lymphatic vessels
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or integrate with larger epidemiological databases You are experienced in machine learning models to interpret complex data types The official administrative language used at KU Leuven is Dutch. If you
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. IRT relies on statistical models in which an unobservable quantity—the latent variable—represents the ability or trait score. However, this latent variable is not uniquely defined, as an infinite number
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strength, muscle imaging, advanced EMG analyses, musculoskeletal modeling) in the context of childhood-onset neuromotor disability.•You have a clear ambition to strive for excellence in research and to
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platform featuring distributed computing within a mobile network of resource-constrained devices will be designed. Incorporating uncertainty-aware AI models will enhance trustworthiness and maximize resource