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, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a
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), sensing technologies (fiber-optic sensors, DIC), and computer science (machine learning tools). The aim of this Ph.D. project is to develop a novel bridge monitoring technique based on CLCE coating
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social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic
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, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a
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the development of the rule of law in the Global South. Being part of the project will allow the doctoral researcher to enhance his/her knowledge-base and experience; working on the various aspects
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research at the interface between biophysics, biomedicine, and computer science Simulate molecular dynamics of ion channels Predict variant-specific protein structures using AlphaFold Co-develop machine
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is to research, develop and improve the understanding and performance of processes enabling the utilization of space resources with an initial focus on the Moon. To find out more about ESRIC activities
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for Digitalization. This project aims to advance privacy-preserving techniques for data analysis and task automation, ensuring robust protection of sensitive information. The focus will be on developing
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use by the group employ multiple-input multiple-output (MIMO) technology and can be connected to build a distributed and cooperative network. To develop signal processing techniques, the group
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: Research and testing facilities, Business support and incubation, and Community management. The primary objective of ESRIC is to research, develop and improve the understanding and performance of processes