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@MGI determines the functional impact of genetic variants (mutations) by engineering those variants into human cells. We use high content confocal microscopy and deep neural networks (machine learning
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Physics (CCQ) posted on the Flatiron Institute’s website at: https://apply.interfolio.com/178953 . The Visiting Scholar position will run for the full duration of the assistant professor position, i.e. up
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testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
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); Computer science foundations (Software Engineering, Algorithms); data science and data analysis (Data Science in the Wild, Causal Inference), or urban computing and design. Candidates for the position should hold a
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, Java, etc. Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis Knowledge of professional software engineering practices, including coding
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, quantum computing algorithms/architectures, applications of quantum computing; or 2. Quantum photonic integrated circuits. Candidates must hold a Ph.D. in Electrical Engineering, Computer Science, Physics
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, or other novel/emerging pollutants - Developing / implementing advance machine learning algorithms for environmental datasets - Attention to detail and careful documentation of work products such as How
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Fellow (EB1)1, available in https://dre.pt/application/conteudo/127238533 and in accordance with the consolidated version with the changes resulting from the update, approved on December 10, 2025 by
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algorithmes développés viseront l'extensibilité sur grands ensembles de données via l'adaptativité sans réglage manuel, et seront accompagnés de garanties théoriques vérifiables. L'objectif est d'établir un
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generation initiative. Our laboratory has expertise in deep learning, including deep reinforcement learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms