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The DESIRE project (Decarbonising Energy-intenSIve industries with REnewable synthetic fuels) is a Marie Skłodowska-Curie (MSCA) Doctoral Network, designed to train the next generation of specialists in e-fuel
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archives of 19th to 21st century French menus and related artifacts as a benchmark of transnational decadent food and develop a communication strategy targeting the food and drink industry and the general
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offering a postdoctoral position in multi-messenger astrophysics related to the KM3NeT, SVOM, and COLIBRI detectors. The main objective is to complete the development and optimization of the KM3NeT neutrino
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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 22 days ago
to research in computer science and mathematics. 400 R&D engineers support research scientists by developing software tools and platforms that help the research process and the experimentation. Spirals
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of IsoPROPEL is to develop fuel cells that utilize the isopropanol/acetone couple for boats navigating European waterways (canals and rivers). The recruited candidate will be affiliated as a PhD student at ENS
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 6 hours ago
Objective. The goal is therefore to develop explainable mechanisms to 1) clearly inform end users about the different risks of inference, and 2) give the user control what risk is acceptable or not to them
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: This PhD project aims to develop new strategies for improving S&D contacts in OTFTs, reducing contact resistance, and enhancing device stability. Two complementary approaches will be investigated: 1
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one species. Secondly, they will explore the evolution of this molecular complex (or single nuclease) across nematode species to understand its origin. In parallel, they will analyse the dynamics
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning