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learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework Simulation and analysis of batch and gradient elution
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implement machine learning models dedicated to the prediction, interpretation, and quantitative analysis of Raman vibrational spectra, establishing explicit links between structure, local chemical environment
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. Your Role A key pillar of ECOWIND is bridging the gap between remote sensing technology and real-time turbine control. Your focus will be the development of a predictive capability that allows turbines
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understand the epidemiology of IBD, including how risk evolves over time and which factors influence IBD risk, such as medication use and comorbidities. The work will also involve prediction modeling and
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protein structural insight with hands‑on ML development: adapting and applying state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational
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is to develop high-fidelity models based on a test-calculation dialogue, seeking the best compromise between the degree of accuracy, the level of complexity, and the effort required to identify
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the mechanisms of sorption and diffusion; (iv) to establish relationships between molecular structure and adsorption properties; and finally (v) to combine experiments and simulations to predict the performance
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, resilience and evolution of marine life to develop solid theories and predictive models of the relationships between marine biodiversity and ecosystem functions, which will in turn lead to improved economic
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innovation at the heart of Africa’s progress. This approach enables UM6P to strengthen Morocco’s leadership in these areas through a unique model based on partnerships and by fostering the development
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produced under conditions representative of rocket engines, for a selection of metals. After meticulous experimental characterization, the unique database obtained will be exploited to enhance the modeling