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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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in privacy preserving machine learning (ML) within the SSF-ML-DH project, under the supervision of Olivier Cappé (CNRS, DI ENS) and Jamal Atif (Ecole Polytechnique, CMAP). Funding is available for two
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contact Enrico Glaab : Your profile We seek a bioinformatician or computational biologist who is well versed in the machine learning and statistical analysis of biomedical data, the use of artificial
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/recruitment/2-year-postdoctoral-p… ** Project ** Computational and high field MRI characterization of learning and decision-making ** Supervisor and contact ** Dr Florent MEYNIEL https://www.unicog.org/lab
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Eligibility criteria The recruited person must have expertise in cosmology, numerical development and machine learning. They must be proficient in the Python programming language, with experience in JAX being a
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura Cantini, works at
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verify precious data necessary for research breakthroughs, clinical purpose and drug discovery. This project funded by this HORIZON-INFRA-2025-01- Tech 04 – Virtual Twin for Sciences will benefit most
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fellow will travel to partner laboratories in the United States (Georgia Tech, the La Pierre Group, and UC Berkeley, the Abergel Group). Several trips lasting a few weeks each will be scheduled
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being carried out as part of the INCa-20115 project at US2B, CNRS UMR6286 (Faculty of Science and Tech nology) with in Prof. D. Heymann's team based at th e Institut de Cancérologie de l'Ouest (Saint