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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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risk indicator for predicting myopia onset in children. Ophthalmic Physiol Opt. 2024; 00: 1–17. https://doi.org/10.1111/opo.13401 Naidoo KS, et al. Potential Lost Productivity Resulting from the Global
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pathogenesis and their potential as therapeutic agents and diagnostic tools. Using in vitro, ex vivo, and in vivo models, the lab studies EVs derived from amniotic fluid stem cells (AFSCs) and other perinatal
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relying on up-to-date research, the program strives to help growers produce high quality vegetables while minimizing pesticide inputs. The program also develops real-time GIS-based predictive models of pest
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transitions in and out of campus housing, accurate data reporting, and collaborative partnerships across departments. As part of our integrated residential education model, you’ll work closely with professional
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project activities, as predicted in the application: Activity 2. TRL 5 cultivation and AI model development Activity 3. Biomass analysis and process techno-economic and sustainability assessment
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predict failures before they occur: a key enabler for safer, more efficient, and lower-carbon industrial operations. The PhD will be conducted at fluiidd (La Ciotat, France) in close collaboration with CEA
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reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us Our research group at the division of Chemistry and
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include applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc. Participation in these projects will
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of advanced CFD models in OpenFOAM for the simulation of next