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: genetics, epigenetics, inflammation, metabolic pathology, autoinflammatory pathology, autoimmunity, arthritis, computational analysis, mathematical modeling, applied algorithms, machine learning in biology
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from vascular lesions and blood, combined with genetic, clinical/epidemiological and imaging parameters from patients. We also perform in depth functional studies in animal and cell culture models
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radiopharmaceuticals. The project will build on the PET reporter gene technology that we have recently developed and apply it for the in vivo tracking of gene vectors and their genetic payload. The different vectors
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
the following for the second part: - Learning-based regularization and their efficient combination with standard algorithm. Use of genetic algorithm to avoid local minima? - Representation / Improvement of a
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algorithms are creating new opportunities for Duke students and faculty, working together in multidisciplinary teams, to actively engage with and to change the world around them. These emerging areas, in turn
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research. The Rhodes Information Initiative is a driver of exciting data science, computing, and AI initiatives at Duke. Access to unprecedented amounts of information, computing power, and AI algorithms
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, reporting on channel performance and noteworthy trends. Monitor platform trends, audience behavior, best practices, and changes to algorithms and terms of use to identify opportunities for engagement and
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algorithms for the next generation of particle physics experiments and also explores other ways AI can accelerate scientific discovery. The group collaborates closely with computer scientists, astrophysicists
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computing and scalable algorithms • Decision science and learning health systems design Qualifications Required: • Ph.D. in Systems Engineering, Industrial Engineering, Operations Research, Computer Science
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analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical