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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
interdisciplinary research groups, and collaborate with colleagues from multiple universities across the Research Triangle, the United States, and even the world. Position Summary This position is responsible
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for Multi-Agent Decision-Making, https://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making
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applications to fill multiple faculty positions in the field of quantum information science, broadly defined. Faculty will join the newly established Institute for Quantum and Information Sciences
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applications to fill multiple faculty positions in the field of quantum information science, broadly defined. Faculty will join the newly established Institute for Quantum and Information Sciences
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2 Sep 2025 Job Information Organisation/Company CNRS Department Maison de la Simulation Research Field Computer science Mathematics » Algorithms Researcher Profile Recognised Researcher (R2) Country
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well as in the design of machine learning algorithms (ANN, SVM, Decision Tree, and Random Forest) applied to healthcare, will be particularly valued. Proficiency in programming tools (Matlab) and statistical
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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mission standards. Core challenges: translating advanced algorithms into field deployable and operational systems managing complex technical integration across multiple consortium partners and international
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models