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Lead project planning, data collection and analysis to generate high-quality, reproducible research outcomes Prepare manuscripts for publication in high-impact journals and contribute to grant proposals
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UiO/Anders Lien 24th March 2026 Languages English English English Join the inclusive University of Oslo as a PhD Research Fellow in Machine Learning, tackling real-world data challenges! PhD
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English and Chinese, including the ability to communicate with clarity on complex information and ability to prepare Chinese funding applications. High analytical ability to analyse and illuminate data
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junior researchers and PhD students. • Disseminate research findings at international conferences, workshops, and policy meetings with key partners. • Participate in the academic life of SSHSPH and
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research excellence. To be successful, you’ll have: PhD in Education, Educational Psychology, Educational Measurement, Public Policy, Sociology, Economics, Statistics, Data Science or a closely related
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. Salary and Benefits: This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found
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Experiments (DoE) Practical experience with analytical techniques relevant to polymer or chemical process research Ability to communicate complex information clearly Fluency in relevant models, techniques
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to the research project (e.g. survey, systematic review, qualitative and quantitative methods, Delphi), ideally at a large scale High level analytical capability Ability to communicate complex information clearly
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, open sharing of analytic code, or involvement with registered reports) Experience using structural equation modelling to investigate patterns of covariation in observational data Experience presenting
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) for more information about the project’s rationale and recent outputs. Role Summary The successful candidate will design and drive a high-level strategy to position DAWN’s findings on deep uncertainty in