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pool of leukemic cells in sanctuary lymphoid organs leading to transformation in high-grade lymphomas. 3) the elaboration of computational prediction tools of progression and new preclinical models
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The Bioinformatics and Biostatistics Hub at Institut Pasteur provides computational biology support to research units and platforms at the Institut Pasteur. Our mission is to: Collaborate
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ability to work in a cooperative, multi-cultural and multi-disciplinary environment. Dynamism, self-organization, autonomy and drive. Interest for computing biology (R programming, image analysis) will be
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advances in machine learning and data-intensive approaches facilitate the search for better or even global minima via evolutionary computations or reinforcement learning. Objectives. The main scientific
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international conferences; Participate in strategic planning and dissemination activities in coordination with other partners. Key Skills, Experience and Qualifications MSc (or equivalent) in Data Science
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. Interest for computing biology (R programming, image analysis) will be an additional asset. Contact & applications: Applications should be sent to pierre.guermonprez@pasteur.fr ; julie.helft@inserm.fr
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; developing our partnership programme with industry; contributing to a quality management system; and the organization of webinars and other dissemination activities, including publications. Support from
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/2023.12.26.573306 (2023). Lake, B. M., Salakhutdinov, R. & Tenenbaum, J. B. Human-level concept learning through probabilistic program induction. Science 350, 1332–1338 (2015). The successful intern should have a
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
the Master’s 2 and the Graduate Programme “Materials Science” option “Innovative materials, advanced technologies and modelling”. These lessons are necessary to study the behaviour of biobased products
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate