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building to make it more energy-efficient can lead to an increase in radon concentration. Modelling radon generation and transport in the source media, its entry into a building and its distribution
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) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe
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thermal management in energy conversion and data processing electronic devices. Fundamental understanding of nanoscale heat transport remains out of reach, and current models beyond diffusion are not
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biology and bioinformatics, as well as in Machine Learning (including Large Language Models). Good understanding of evolutionary and molecular biology concepts, and good statistical (data analysis) and
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) Development of next-generation of membrane supports utilizing additive manufacturing techniques to achieve precise porosity orientation and complex geometries. (iv) Design and synthesis of innovative ultra- and
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funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Data integration and numerical modelling
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) or closely related field. Process simulation : Aspen HYSYS/Plus. Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. Life Cycle Assessment (LCA): experience with, e.g
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performance of molecular dynamics studies on molecular diffusion models in membranes. The research is oriented towards the study of the physicochemical behavior of new systems based on paramagnetic ions with
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the framework of the project entitled: “Developing COMPLEX Human ORGganoids to Model and Target Genetic and Systemic Conditions during Congenital Anomalies Of The Kidney And Urinary Tract” (COMPLEXORG
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modeling in calculation processes and application of AI techniques for processing dense point clouds Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research