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testing High level of scientific integrity, rigor, and excellence in experimental methodology, analysis of data, and scientific- ic/technical reporting. Ability to work autonomously while being a good team
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information For further information, please contact Dr Tatevik Minasyan (tatevik.minasyan@taltech.ee ) and Prof Irina Hussainova (irina.hussainova@taltech.ee ) or visit https://taltech.ee/en/department
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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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, V., Ashraf, A. R., & Nadeem, W. (2024). AI-powered marketing: What, where, and how? International Journal of Information Management, 77, 102783. https://doi.org/10.1016/J.IJINFOMGT.2024.102783 Nguyen
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, or closely related topics. Interest in data analysis and computational modelling. Interest in software (cloud platforms/data visualization) and related applications to integrate real-world energy data. Very
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interest in Life Cycle Assessment (LCA), Environmental Impact Assessment (EIA), or sustainability metrics. Interest in data analysis and computational modeling. Very good proficiency in spoken and written
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requirements analysis will en- gage demolition contractors, planners, and waste managers to refine the data fields, workflows, and reporting for- mats needed for effective passport adoption. Second
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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
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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