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, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and
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. Activities of the successful candidate: Conduct extensive background literature analysis. Plan and organise experiments to define and test hypotheses and develop forefront research. Publish the results
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Europe | about 2 months ago
manufacturing, development of machine learning algorithms and design of optical communication networks or power consumption and energy saving. The synergies of MATCH consortium act together to enable the thirteen
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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to unlock the full potential of these materials and to enable rational design strategies for the next generation of efficient and stable OPVs. About the project: The Costantini Lab has recently demonstrated
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and small, contribute to a better world. We look forward to receiving your application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with
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emphasizes innovation through the development of a Virtual Learning Environment (VLE) for construction safety or disaster response simulation, integration of Information Backbones including Digital Twins and
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, confocal microscopy, and transmission electron microscopy. - The applicant should have expertise in mechanical testing, including i) custom designing devices for testing soft tissues, performing
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22, 2025 Description The University of Tennessee-Oak Ridge Innovation Institute (UT-ORII) is inviting applications for a non-tenure track research faculty position in Microbial Ecology with a
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for CI, HTI, and urban environments. The network emphasizes innovation through the development of a Virtual Learning Environment (VLE) for construction safety or disaster response simulation, integration