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) Curriculum Vitae including the list of most relevant publications (list max. 5 publications) that follows the model of the Finnish National Board on Research Integrity (TENK). https://tenk.fi/en/advice-and
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. For more information on the tenure track model, career path and assessment criteria at the University of Helsinki, please see https://www.helsinki.fi/en/about-us/careers/academic-careers/university-helsinki
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. For more information on the tenure track model, career path and assessment criteria at the University of Helsinki, please see https://www.helsinki.fi/en/about-us/careers/academic-careers/university-helsinki
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small animal surgery. The assessment is always conducted as an overall assessment. For more information on the tenure track model, career path and assessment criteria at the University of Helsinki, please
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anaesthesiology. The assessment is always conducted as an overall assessment. For more information on the tenure track model, career path and assessment criteria at the University of Helsinki, please see https
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy
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mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data
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language models or confidence thresholds. This situation is partly due to the lack of proper investigation into the phenomenon and partly to its inherent complexity. In this project, we investigate
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well as ultra-sensitive detection of weak, long-range forces—such as those predicted by physics beyond the Standard Model. Distant, coupled microwave optomechanical systems can also be utilized for quantum
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computing in large-scale omics data analysis. Your work will focus on method development and their application to biomedical research questions. Key responsibilities include: analyzing and modeling large