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Field
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. The candidate must have or be willing to learn computational methods for data analysis. The studentship covers fees at the Home rate, International fees are not covered. How to apply You must apply through
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footprint - while maintaining or enhancing the intended mechanical and durability performance. The work will deliver essential data on durability, microstructural development, and long-term behaviour
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interpretation of platform data, stakeholder feedback, and project outcomes; maintain records and databases; and draft progress reports, technical reports, and academic publications. Contribute to the design
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have the background required to extract plasma parameters from plasma diagnostics data and with methods to perform time-resolved plasma measurements. Responsibilities will include writing refereed
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Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
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) in quantitative biology, statistics, or a related discipline, and have experience using statistical modelling and data analysis to address predictive or inferential questions in ecological
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hands-on and applied, with modules such as: Applied Nanoscience, an introductory module covering core topics in Nanoscience research, experimental skills and data analysis through lab practicals; Systems
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vehicles, data centers, etc.). These devices are mostly power electronic interfaced introducing new types of dynamic phenomena and the need for more detailed models, increasing complexity. In addition
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population-based studies. Using data from 11 million vessel segments from over 200,000 CFPs, we have shown that retinal vasculometry can predict cardiovascular disease as well as established risk scores and
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tools is considered as an advantage Understanding of building design, structures, and material in the Finnish context Capability for working with Building Information Models Fluent English is a must