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Field
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correlations in complex fluid solvents. The methodology will be largely based on Lie group methods and structure-preserving algorithms in geometric mechanics. Benefiting from the interdisciplinary collaboration
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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decoherence dynamics and other effects of quantum-classical correlations in complex fluid solvents. The methodology will be largely based on Lie group methods and structure-preserving algorithms in geometric
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Norwegian courses. Required selection criteria You must have completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms
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Regulations of the University of Aveiro. 5. Work Plan: he work plan is integrated into the activities of the NEXUS Agenda, with an emphasis on the development of methods and algorithms with applications in
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distributed energy resources (DERs). Design & develop optimization algorithms/tools to plan the deployment of DERs such as energy storage systems (ESS), photovoltaic generations (PV), electric vehicle charging
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of quantum-classical correlations in complex fluid solvents. The methodology will be largely based on Lie group methods and structure-preserving algorithms in geometric mechanics. Benefiting from
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completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining. Experience with
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. Preference will be given to applicants whose research examines how emerging technologies (e.g., AI systems, algorithmic platforms, or social media) shape democratic communication around contentious or
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives