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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
has worked for over a decade on advancing the theoretical foundations of reinforcement learning, using a combination of tools from statistics, optimization and control, in order to build more efficient
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mechanistic features will be deciphered in order to fully understand the cleavage reaction of DNA with DNAzymes. Sample preparation (DNA both as catalyst and substrate), followed by optimization of pulsed EPR
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testing of concrete structures Good Knowledge of data science, e.g. optimization, machine learning, and structural sensing technologies Openness to interdisciplinary research and commitment to teamwork
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microstructural analysis and mechanical modelling Knowledge in plant biology and/or plant biomechanics The selected candidate will be fully integrated into a large-scale European project involving assignments with
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learning and statistics. A good command of Python programming is essential, as is a good command of English, both spoken and written. Skills in optimal transport theory and knowledge of generative models
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. The recent development of genetic tools that enable the targeted modification of the diatom genome in culture represents a tremendous opportunity to expand knowledge of genome editing tools in other microalgae
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. The BERNARDO project aims to meet this challenge by designing nanostructures optimized to maximize these observables and by establishing fundamental connections between near-field and far-field chiral phenomena
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reduces the energy cost, save water, recycle metals limiting economic dependence and preserve resources. The project aims to optimize the process and extend the applications in direct relation with
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hydrogel-based biomimetic matrices (notably GelMA) to support the generation, maturation and functional optimization of multicellular adipose organoids, and integrate them into microfluidic platforms
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The successful candidate will be required to provide expert knowledge on computational astronomy applied to radio-interferometry, operating across several of the work packages of the ODISSEE project ((Online Data