204 development "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" PhD positions in France
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 17 days ago
collaboration with the Berger-Levrault company. The candidate will be encouraged to propose analysis tools for developers and engineers, which can be included directly in the software development environment
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synthesis due to steric hindrance and associated selectivity issues. Thesis Objective: This thesis aims to develop new synthetic methodologies based on controlled cationic chemistry to access these highly
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part of the research theme 'Planets and Moons', and will be integrated within the ERC - IceFloods (https://lpg-umr6112.fr/en/erc-icefloods/ ). This thesis will aim to characterize the contribution of ice
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Stehly. Anne Paul, PI of the MACIV project, will assist with the supervision. These researchers, and more broadly the Waves and Structure team, have been heavily involved in the development of methods
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with Novel upscaling assisted by artificial intelligence) project financed by PEPR DIADEM (a public funding program on the development of innovative materials using artificial intelligence). The relevant
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many genetic mutations "uninterpretable" in clinical settings. Our project will develop an artificial intelligence approach capable of predicting, for each mutation and each cell type, its impact on
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many evenly spaced optical frequencies (“comb lines”) at the same time, rather than a single wavelength. In the time domain, this corresponds to a train of ultrashort, highly regular pulses
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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks (https
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AMMETIS[1] (AI-assisted Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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validated algorithms. The objective is to identify sensorimotor signatures of fall risk that may improve current predictive models and contribute to the development of more targeted prevention strategies