25 evolution "https:" "https:" "https:" "https:" "https:" "Leiden University" uni jobs at Nature Careers in France
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voiture pour leurs trajets domicile- travail,” https://www.ouest-france.fr/economie/transports/voiture/les-trois-quarts-des-francais-continuent-dutiliser-la-voiture-pour-leurs-trajets-domicile-travail
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Contribute to specific project deliverables as required Contribute to the development of innovative discipline-specific services and tools relevant to research data Contribute to the development of training
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Term Contract 24 Month Work Hours: Full Time 20.0 Hours per Week Location: Belval Campus Internal Title: Research and development specialist Job Reference: UOL08117 .
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for brain disorders and many hospital clinicians are also investigators of the Institute. As part of its scientific strategy development plan, the Paris Brain Institute has recently launched an ambitious
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group “development of mobile agro-environmental sensing” within the IAT and advance the research in this domain with particular emphasis on research in the five IAT living labs. A central aspect of your
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. We invite applications for a Research & Development Specialist in the interdisciplinary project
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often struggle with domain shift, limited generalization, and the gap between simulation and deployment. These challenges motivate the development of advanced spatio-temporal learning frameworks that can
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domains, fostering the acquisition of horizontal skills around presentation & communication skills, scientific English, protocol development, data evaluation, and training in Nutrition. A close link to lab
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set of skills, facilities, key technologies and biological resources, and continuously invests in its development. The DT is organised into four centres: These centers, as shared resources, aim
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. Côte d’Azur & INRIA), will be focused on the development and the understanding of deep latent variables models for unsupervised learning with massive heterogenous data. Although deep learning methods and