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the University of Porto (FEUP), under the scientific supervision of Professor Ana Rosanete Lourenço Reis. Grant duration: Initial duration of 6 months, with the predicted starting date in April 2026
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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highly desirable) AI/ML for predictive modeling and inverse design of nanomaterials Autonomous laboratories for materials synthesis and characterization Generative models, reinforcement learning, and agent
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technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In the Biofunctional Nanotherapeutics Lab
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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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learning methods (e.g., predictive modelling, clustering, multivariate integration) to large-scale time series and sensor datasets. Contributing to the development of risk models and decision-support tools
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in France is crucial to inform risk analysis and mathematical modelling, and obtain precious information for epidemic preparedness, particularly for outdoor farming systems which are highly prevalent
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significant challenges for the treatment and supply of safe and high-quality drinking water. The project aims to develop a multiscale predictive analytics framework that integrates long-term algal speciation
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
Infrastructure? No Offer Description The aim of this PhD is to model the development of microstructures during welding processes on thick parts, in the context of nuclear equipment, for which deposits of several
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applied in particular to the modeling of 3D-printed concrete at the Navier laboratory, to better predict complex phenomena such as material curing and crack formation. Where to apply E-mail jeremy.bleyer