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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 29 days ago
collaboration with L. Bonati at IIT Genova, who developed the library mlcolvar, https://github.com/luigibonati/mlcolvar ). 2) Compare the data-science dimensional reduction approaches above, with machine learning
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multimodal generative AI for music/audio. Check out some of our recent projects here: https://dorienherremans.com/biblio (including work on models like Mustango, SonicMaster and other generative systems
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work on the molecular genetics of age-related hearing loss (https://www.grilletlab.com/). The Grillet lab has generated a mouse model carrying a polymorphism identified in Genome Wide Association Studies
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problems, statistical learning and machine learning (machine learning, deep learning) - Knowledge of associated software development tools and environments: Python, PyTorch, Scikit-learn, Jax, Julia
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structure-preserving, machine learning–accelerated scientific computing for plasma physics applications. In particular, the project involves developing data-driven collisional kinetic models and numerical
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design, computational fluid dynamic modelling, and assessment of thermo-fluid systems for aviation, focusing on icing in aircraft fuel systems. About You You will be educated to doctoral level in a
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and distributed control intelligence that can be applied to solve these problems through the application of machine learning, intelligent optimization techniques, automated fault detections and
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and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency
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the displacement of Classified personnel. *Retired CalPERS Annuitants: may not exceed 960 hours in a fiscal year (July 1 through June 30)* REPRESENTATIVE DUTIES: Art Model Expert will be responsible for posing
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the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning