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Field
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-driven models that: Predict acute and chronic NCD risks at the population scale Identify vulnerable neighbourhoods and subgroups Support public health policy, prevention and hospital planning Provide
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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and
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-effective compliance with future PFAS standards. The aim of this research is to develop a mechanistic-driven multicomponent model to predict PFAS breakthrough in GAC. This project is an exciting collaboration
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engineering, materials science, or a closely related field, with demonstrated interest or experience at the interface of computation and data driven methods. Experience with computational modelling techniques
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communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored to the demanding requirements
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modelling, data-driven approaches, and experimental validation. The project combines computational materials science with practical membrane design for electrochemical energy applications. PhD Position 1
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PhD Studentship in: Water and Vegetation Driven Failure Modes on Railway Infrastructure School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded Students Worldwide
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Electrical Power Engineering and Mechatronics. The Proposed PhD thesis topic: “ AI-Driven Battery Life Optimization for V2X-Enabled Software-Defined Vehicles ” Supervisors: Sup. Researcher Dr. Hadi Ashraf Raja
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(Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering
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knowledge for sustainable formulation design. Using different data-driven feature representations, AI foundation models will generate chemical embeddings to predict key physicochemical properties. Coupled