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About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists
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(Essential) Expertise in Neural Architecture Search for Deep Learning Essential Strong machine learning delivery skills Strong software development skills Demonstrable project management skills Excellent
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to improved resilience and evidence-based strategies for managing wildfire risks. Useful recruitment links: For information relating to the research project please contact the lead Supervisor via: o.m.rodriguez
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using advanced materials. You will be supported by a multidisciplinary supervisory team with extensive expertise in novel materials design, data science, and the clinical management of TLS. You will
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globally. The direction of the project will be developed jointly by the student and supervisors, including which monsoon regions are of most interest and whether to produce new idealised climate model
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conservation managers and incorporation of project findings in BCT’s work on UK bat favourable conservation status. Useful recruitment links: For information relating to the research project please contact
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by the research team, the Pierre Gilles de Gennes Institute and the Curie Institute. Main contacts (intra- or extra-CNRS network): Team leader (Scientific Director), project stakeholders and
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About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists
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About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists
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for this process is composed of: Dr. Sébastien Lethu, Manager of the Innovation and Valorisation Laboratory Dr. Jordi Cerón, Manager of the Crysforma unit Dr. Ana Arroyo, Project Researcher at the Innovation and