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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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) and/or machine learning (about 10 PIs). The Physics Laboratory is about 180-member strong and conducts world-leading research on a broad range of topics, including quantum technology, statistical
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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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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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electrodes, catalysts and adsorbents in high-tech applications covering energy storage and environmental protection. Over the years, the group has accumulated know-how and experience in materials science for
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, comprising nearly 650 people across 43 research teams and 17 high-tech platforms. The researcher will be part of the Department of Microbiology within the Cyanobacteria Biology and Biotechnology team, which
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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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staff of around 120, including 66 permanent staff. It has a strong experimental component, with numerous prototype set-ups supported by both standard equipment and high-tech instrumentation
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- Geometry, Learning, Information and Algorithms - Speech and Cognition The Gipsa-lab comprises 150 permanent staff and approximately 250 non-permanent staff (doctoral students, post-doctoral researchers
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors