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mission, we are in the final stages of developing a prototype for generating daily evapotranspiration products. One of the two selected algorithms, STIC, will be integrated and tested under conditions
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the use of reinforcement learning approaches to enable tractable active auditing, by both relaxing guarantees and by adding work assumptions for proposing efficient algorithms. Where to apply Website https
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electronic components are necessary. Thus, new components are developed from gallium nitride (GaN) to manufacture fast switches and rectifiers that can withstand high voltages for reduced component sizes
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large scale due to their cost, but also, they can't capture global motions. The goal of the current project is to develop MLIP that will replace QM/MM, leading to ML/MM simulations that will be usable
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-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed
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development. To validate your developments, you will be provided with access to the top European supercomputers (Adastra, Jean-Zay, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR3441
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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(Bus G). The project aims to expand the glyco-chemical space by exploiting bifunctional exo-glycals as "super-carbohydrates" for the development of new domino cyclizations, enabling the one-pot
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work now focuses on the evolution of egg-laying behaviour and the transitions to viviparity. In parallel, we are also interested in characterizing the natural history, ecology, and phylogenetics
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to develop a disruptive laser technology to address realworld applications in health science and quantum technology. The basic concept relies on the exploitation of low phonon rare-earth-doped fluoride