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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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) 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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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
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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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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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Proposals of ca. 1,500 words that address the above research context should be uploaded to Embark, together with an annotated bibliography and other specified application information. Priority will be given
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. Aspen) Good organization and data management skills We expect the candidates to be able to start preferably earliest in October 2025, in any case within Autumn 2025. The applicants for the doctoral
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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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to translate social, behavioural, and legal insights on hate crime/speech and misinformation into practical requirements for digital tools and training frameworks. Collate, process and present research data in
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Data Skills Advanced Quantitative methods Interdisciplinary Collaboration with researchers outside of the social sciences Please do speak to your selected institution should your project include any