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Research Fellow who can contribute to the following objectives of this research project: Identifying the critical materials and technology issues related to the problems, understanding the fundamental
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through forward modelling of simulation data using coronal lines, individual or statistical studies of waves in the solar atmosphere through observations, applications of Bayesian statistics to solar data
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demonstrated aptitude for research, with a sound publication record in relevant areas, commensurate with experience and opportunities.3) Demonstrated experience in Bayesian or other statistical approaches, and
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for an experienced, self-motivated, and dynamic researcher with a track-record working and publishing in the field of evidence-informed policymaking and/or related programmatic domains. The postholder will work with
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, and analysis of large, diverse datasets that benefit from high-performance computing (HPC) clusters. The objective of these fellowships is to facilitate cross-disciplinary, cross-location research
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also have a track record in post-secondary teaching. The position may be awarded as a postdoctoral fellowship to a researcher who has finished their PhD, or to an individual outside the academic
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is organized across three Work Packages (WPs): WP1: Future Volcanic Climate Shocks (Leader: Kirstin Krüger). Objectives: Investigate potential future volcanic climate shocks and their compound effects
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series, and Bayesian analysis. In applied mathematics, these include information theory, coding theory, control theory, fluid mechanics, and mathematical biology. Further details on the departmental
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employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council
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or translational research experience Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: Independent, proactive, and scientifically curious Detail-oriented