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://www.academictransfer.com/en/jobs/356815/postdoc-circulating-elements-in… Requirements Additional Information Website for additional job details https://www.academictransfer.com/356815/ Work Location(s) Number of offers
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SPECIFICS Postdoctoral Scholar – Public Health Sciences Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking postdoc scholars
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solar-powered optical and mechanical systems aimed at enabling next-generation energy-autonomous photonic technologies. This work combines elements of solar energy collection, optical engineering
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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factors: Previous experience in the construction industry; Previous experience in Building Information Modelling; Previous experience in AI and machine learning; Previous experience in process and facility
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collaboration with other departments. We research next-generation batteries, more efficient solar cells, more environmentally friendly hydrogen, and materials that can replace critical elements. In
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. The aim is to explore oscillators based on transition metal oxides with competing electronic phases (e.g., metal/insulating, magnetic/non-magnetic, etc.) with applications to neuromorphic computing
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of the 2005 urban riots in France (https://doi.org/10.1038/s41598-017-18093-4 ). It will draw on data concerning these riots, the 2007 urban riots in the Ile-de-France region, and the Yellow Vests movement
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
disseminate the developed methods. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09574 Requirements Skills/Qualifications PhD in Computer Science, Machine Learning, Bioinformatics