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Field
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging
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Job related to staff position within a Research Infrastructure? No Offer Description Development of theoretical models of cell migration with memory Modeling in statistical physics and soft matter
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solutions. • Topic (tasks): Creation of LCA and TEA models on technologies for the decarbonization of ammonia production; Providing recommendations to decision makers based on modeling results; Collaborations
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Diogo Arsénio on subjects including: Magnetohydrodynamics and the mathematical theory of plasmas. Collisional kinetic models and their hydrodynamic limits. Dispersive phenomena in kinetic theory. Quantum
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modelling. Imaging
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modelling of membrane contactors, with the aim of maximising their performance in terms of separation and energy consumption. The project will be carried out at the LRGP (Reactions and Process Engineering
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an appropriate autogenous mill for pilot testing. Lead the design and execution of lab-scale autogenous grinding trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits
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farms. This research will build upon a multi-scale and multi-physics numerical modeling framework, with the goal of enabling rapid and robust probabilistic assessments for design, optimization, and
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solvability of these problems. The developed methodologies will be tested and validated on emulators that incorporate realistic hardware error models, with an emphasis on the uniqueness of Rydberg-based
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initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product