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physics and urban meteorology groups at INAR. The computational aerosol physics group uses computational and theoretical methods to understand cluster and particle formation for atmospherically relevant
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research profile in inverse problems and computational mathematics. About the job This project focuses on developing advanced methods for uncertainty quantification in inverse problems, i.e., mathematical
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are required to hold a relevant doctoral degree, for example in health sciences, sport sciences, environmental sciences, or another relevant field. We value knowledge of statistical methods, ability to analyze
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on the position. The hired researchers will work as part of the computational aerosol physics and urban meteorology groups at INAR. The computational aerosol physics group uses computational and theoretical methods
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, the candidate should be open to interdisciplinary collaboration and comfortable with working in multi-method research contexts. Additionally, due to the specific framing of these positions, researchers accepted
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motivation to learn and adapt new skillsets, and readiness to work with diverse teams. Position details The doctoral researcher (PhD student) will be initially appointed for 2.5 years, on a fixed term
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://www.infofinland.fi/en/landingpage Novatron develops, manufactures and supplies machine control systems, related software and cloud services for infraconstruction sites. Novatron’s main products are Xsite® machine
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sociology, statistics, population genetics or other relevant field, have strong quantitative methods skills and an excellent command of written English. The default assumption is that the degree requirement
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The doctoral researcher (PhD student) will be initially appointed for 2.5 years, on a fixed term employment contract starting in March 2026 (or as agreed) and extending maximally until August 2028. A six-month
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-025-56057-9 About you You are ambitious, goal-oriented, collegial and motivated to tackle a challenging project. High interest in learning structural biology methods (comprehensive cryo-EM training will