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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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Lazuli collaborations. The recruited person will join the Cosmology team at IP2I and will work under the direct supervision of Dr. Mickael Rigault. Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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individuals perform example gestures while demonstrating the desired sound output. The system then learns and generalises these associations, allowing personalised and adaptive control over real-time audio
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example gestures while demonstrating the desired sound output. The system then learns and generalises these associations, allowing personalised and adaptive control over real-time audio generation
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on deep learning coupled with molecular simulations for the investigation of slow variables and transition pathways describing large conformational changes and reactive processes in complex biological
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astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based