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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Current large language models (LLMs), despite being
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forming a moist microbial rhizosphere habitat. Your work will build on the process-based soil-rhizosphere-plant model, developed at the Agrosphere Institute, which integrates a 3D functional-structural
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and the use of appropriate biological models, the effects of these natural substances on the main processes involved in the response to toxic effects are analyzed, such as oxidative stress and/or
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services for deployment, monitoring, and maintenance of AI models created in research contexts. In addition, it involves developing and maintaining services allowing integration of large language models
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involved in all stages of the project. Initially, part of the work will be dedicated to the molecular modelling of the different parts of the proposed molecules and of the structures as a whole. These
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characterization platform for innovative materials by combining advanced experimental techniques, physics-based mesoscopic modeling, and artificial intelligence. Within this context, high-throughput experiments will
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worldwide, focuses on improving our understanding and management of global freshwater resources. You can read more about the project here: https://www.imperial.ac.uk/news/articles/engineering/civil
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
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unit dedicated to advancing the understanding, monitoring, and predictive modelling of modern engineering structures. Research within the department on Structural Health Monitoring (SHM), non-destructive
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molecular docking, molecular dynamics and free-energy methods (MD/FEP), machine learning for molecular design, and protein–ligand modelling. Experience bridging computational and experimental groups, and the