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, Computer Science, Mathematics, Biomedical Sciences, or a closely related field Strong background in computational data analysis with a solid understanding of biological and biomedical concepts Expertise in machine
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13 Feb 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Mathematics » Applied mathematics Mathematics » Statistics Researcher
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journals and presenting at the most well-regarded conferences. Strong background in structural mechanics, analysis of complex structures, and structural design. Proven track record of working effectively
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interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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/She will be responsible for coordinating complex research projects that require coordination with multiple collaborating staff, sites and investigators. Specifically, he/she will lead the development
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specialize in areas such as Analysis, Applied and Computational Mathematics, Machine Learning, Partial Differential Equations, and Probability and Statistics. SDMSS currently offers the following programs in
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of diverse scope where analysis of data requires a thorough understanding of complex regulations. We are seeking a collaborative, professional, team player. The incumbent should be proactive, understand
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related field, and a strong interest in biomedical applications. Experience in machine learning, statistics, or high-dimensional biological data analysis is advantageous. Ideal candidates are curious
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sensing, advanced mathematical methods for the analysis of extremes, and AI. The research will also determine the nature of statistical distribution of set-up heights and examine co-occurrence of high
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general direction, and is responsible for research, analysis and resolution of physician and hospital accounts. This position works directly with patients, providers, insurers, departments, and other staff