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Field
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of privacy-preserving artificial intelligence for the benefit of humanity. What You Will Do: Research (Federated Continual Learning): You will develop novel and privacy-preserving algorithms that allow
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should have experience with network modelling and programming. Experience with systematic reviews and meta-analyses is an asset, but not a prerequisite for the position. The successful candidate will work
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will develop novel and privacy-preserving algorithms that allow distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 26 days ago
, systematic reviews, content analysis, and meta-analysis, and is an added advantage. Create a Job Match for Similar Jobs About The University of North Carolina at Chapel Hill Carolina rates among the nation’s
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20 Dec 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Computer science Mathematics » Algorithms Researcher Profile First
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syndrome. This project involves experts in the design and biological characterization of various organ-on-chip systems and benefits from the laboratory's platforms (https://bmbi.utc.fr/recherche/meta
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. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep
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factors underlying support for or opposition to environmental policy instruments. The work involves meta-analytic, experimental, and longitudinal methods, and includes interdisciplinary collaboration
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research subject for this position is development of distributed processing strategies and algorithms for Large Intelligent Surfaces, including both joint baseband processing and synchronization across
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nanoparticles for applications in nanomedicine, animal-derived food safety, and human health risk assessment; (2) collection and meta-analysis of pharmacokinetic and tissue distribution data of nanoparticles in