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solutions for building energy management and in district energy networks, and toolkits of solutions for building and district performance assessment. The combination of computer science with the built
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research visit(s) to UKNNL and/or the University of Manchester. Furthermore the TEM-TA146 RECYCLEST and Euratom EURAD-2 STREAM networks are even broader, providing opportunities to collaborate with industry
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software and experimental validation setups Opportunities for international conference participation, research exchanges, and networking with well-known uni- versities and research centers Active
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. Voronova’s strengths in life cycle analysis and industrial engineering. Access to Dual Research Environments: Candidates will benefit from access to facilities, research networks, and academic resources in
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., detailed research and time plan (laboratory work,data gathering, data analysis, interpretation of findings, writing up plan), and expected outcomes. The candidate can expand on the listed research questions
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analysis by testing various in-situ applications such Energy Saving Devices. The collected data could be used to build a digital twin. The aim of this PhD project is to demonstrate clean maritime systems
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knowledge of data analysis and statistics. Data visualization and analysis in R The candidate should submit a research plan for the topic, including the overall research and data collection strategy