71 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" PhD positions in France
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research topics cover a broad spectrum ranging from ecology to evolution, including genetics, palaeontology, health and biodiversity, with both fundamental and applied approaches. The successful candidate
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to excessive production of type I interferons. This leads to chronic inflammation and damage affecting multiple organs. Although these diseases are primarily associated with immune system dysfunction, recent
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and professional life. INSERM received the “European HR Excellence in Research” label in 2016 and is committed to developing its researcher recruitment and evaluation practices. Host Laboratory: Based
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | 1 day ago
professional life. INSERM received the “European HR Excellence in Research” label in 2016 and is committed to developing its researcher recruitment and evaluation practices. Host Laboratory: Based in Rennes
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. The microbiology platform and the CBO team at CERMAV are developing a biotechnological approach for protein glycosylation based on bacterial metabolic engineering of E. coli. In this context
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producing functionalized pyoverdine, which can then be conjugated to different molecules (for example, antibiotics) to develop targeted vectors or to explore new properties of the siderophore. In this context
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of Reactivity and Solid Chemistry (LRCS) as part of the FTJ Basecamp 10kWh Project. The thesis aims to develop a comprehensive and robust solution for battery diagnostics and assessment, drawing on several
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) and involves close collaboration with EPFL and IMS Bordeaux. Our research focuses on developing passive implantable biosensors that use backscattering to wirelessly transmit sensing data. The researcher
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candidate will be responsible for the full range of activities related to the development, testing, and evaluation of the learning models. They will also receive support from LOA experts for the execution
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process structures. However, this method is limited by the inductive bias of the predefined superstructure. Innovation: Increased computing power and advances in data science have popularized new algorithms