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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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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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the behavior of complex rotating machinery operating under extreme conditions. Through the integration of modeling, simulation, and experimental validation, the group supports the design, performance
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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for a highly motivated PhD candidate to join our world-leading research program in Earth System modelling and improving Earth System Modeling by better merging of measurement data and model simulations
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position will included tasks related to integration synthetic genetic engineering, time-lapse microscopy imaging, lab-on-chip technology and advanced computer model simulations -- El puesto de investigador
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We are recruiting a Senior Research Fellow in Infectious Disease Modelling to join a collaborative research programme in partnership with the Modelling and Simulation Hub Africa (MASHA
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validation tests. 2. Digital Modelling & Data Analysis Support development of the AI-enabled simulation and digital model platform. Run thermal–electrical models (COMSOL, ANSYS, or equivalent). Analyse field
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Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | about 1 month ago
the precise mechanisms that drive addictive behaviour. The project will combine formal modelling, experimental simulations of socioeconomic gradients, and self-reported measures of early life
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem