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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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insight into the functioning of large language models, as evidenced by relevant academic publications or relevant training. WHAT WE CAN OFFER YOU We offer you a contract of definite duration for a period of
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and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
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Description A call for applications is open for a Post-Doctoral Research Grant (BIPD) within the scope of the project “SMURF-Sustainable Management models and value chains for small forests”, funded by “Horizon
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/ProvinceBucharestCityBucharestStreetPiata Romana no 6Geofield Contact State/Province Bucharest City Bucharest Website https://resurseumane.ase.ro/just-circle-measuring-and-advancing-circular-business-models-for-a-fair-and-sustainable
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behaviour change theory (e.g. COM-B, the Theory of Planned Behaviour, or the Value-Belief-Norm model) as applied to sustainability or circular economy contexts. Experience with citizen science, co-creation
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regulatory decision-making around the implementation of these technologies. A key component of the work will involve developing an ex-ante economic model to identify cost-effective strategies for implementing
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publication record. Demonstrated experience analyzing other Canadian public transport projects. Proficiency in discrete choice and behavioral statistical modelling using R. Proficiency in microsimulation and
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state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models