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education and those expected by employers. Competency frameworks, which are at the core of the Competency-Based Approach (CBA), struggle to keep pace with these changes and quickly become outdated
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the CARNOT HyLBM project, which aims to develop advanced numerical models for hydrogen storage in nanostructured metal hydride reactors. The researcher will contribute to the development of advanced
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at IP2I (LMA) and extreme adaptive optics (XAO) for exoplanet imaging at CRAL. This interdisciplinary initiative aims to develop a new generation of wavefront sensors capable of achieving sub-nanometric
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and related professions. Ability to develop and maintain professional networks. Strong teamwork and collaborative skills. Where to apply Website https://www.aplitrak.com/?adid
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the development of circular, low-carbon industrial value chains. UTC/TIMR The TIMR research unit (UTC-ESCOM- https://timr.utc.fr/ ) aims to develop knowledge and know-how for the transformation processes
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
documentation Integrate such implementations in the FLUTE platform test algorithms and run experiments Prepare further research and development starting from the FLUTE platform. Where to apply Website https
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Plasmodium genomic data analysis; see https://mrc-ide.github.io/PGEforge/. Data partitioning: The 24,409 analysis-ready samples will be extracted and partitioned into subsets by country (since this is the most
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of Helsinki to further develop these aspects, particularly regarding the interatomic potentials to be used depending on the energy ranges. The SVI laboratory is a joint research unit between CNRS and Saint
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for geophysical flow modelling, uncertainty quantification, and high-performance computing. Its work relies on both deterministic and statistical approaches. The objective of this PhD project is to develop a new
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. Depending on the candidate's profile and interests, the thesis may develop along one or several of the following directions, at the crossroads of statistical physics, biophysics, and machine learning