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Mathematics » Statistics Mathematics » Other Researcher Profile Recognised Researcher (R2) Country Finland Application Deadline 16 Feb 2026 - 14:00 (UTC) Type of Contract Temporary Job Status Full-time Is the
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and are interested in developing these further. You will contribute to courses in the BSc and MSc programs offered by the Department. Moreover, you are involved in the supervision of bachelor and
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genetic analyses, EHR data extraction and QC, and machine learning analyses. They will also develop new lines of research in collaboration with Dr. Kember. To qualify for this position, they will have a MSc
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about 47 % of all employees are internationals. In total, it has more than 1200 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its
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to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
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concepts from fluid dynamics and statistical physics, the candidate will analyze the resulting turbulent-like flows through their energy spectra and correlation functions. The candidate will also analyze
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of relevance to the subject area, or a MSc in Engineering in Biomedical Engineering, Computer Science, Electrical Engineering, Engineering Mathematics, Nanoengineering, Engineering Physics or Information and
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, and translating cutting-edge methods into improved health outcomes. https://www.kcl.ac.uk/bhi About the MSc in Applied Statistical Modelling and Health Informatics: https://www.kcl.ac.uk/study
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:10.3389/fnins.2021.700672). Where to apply Website https://tinyurl.com/DC13-BRAINET-Apply Requirements Research FieldEngineering » Biomedical engineeringEducation LevelMaster Degree or equivalent Research
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training dataset of well-studied volcanoes with known large eruptions, the project will employ statistical and machine learning (ML) methods to identify the strongest predictors of eruption magnitude