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with the PIs and autonomously, and will be proficient in advanced econometric techniques, leveraging large datasets. The Postdoctoral Fellow reports directly to faculty in the Digital Reskilling Lab and
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such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning
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workflows, including troubleshooting, iterative method development, and data-informed protocol refinement. Strong analytical skills, with demonstrated ability to manage and interpret large eDNA datasets
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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics
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workflows, including troubleshooting, iterative method development, and data-informed protocol refinement. Strong analytical skills, with demonstrated ability to manage and interpret large eDNA datasets
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changes, and delivering personalised healthcare. CHI leads multiple large-scale NHMRC and industry projects and in 2018 founded the Australian Alliance for AI in Healthcare. We partner with major healthcare
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Research Fellowship period at the University of Oslo. Place of work is the Department of Mathematics, Blindern, Oslo. This position is part of the research project “Towards Matching Bounds in Large
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working at the intersection of econometrics, macroeconometrics, and international economics. Areas of emphasis include: Nowcasting and forecasting using large and diverse data sources Macroeconometric
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experiments, large-scale data analysis, and computational methods to advance our understanding of innovation and digital transformation. Candidate Profiles: We seek candidates with strong quantitative and
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20 Dec 2025 Job Information Organisation/Company OsloMet – Oslo Metropolitan University Research Field Communication sciences » Journalism Communication sciences » Media studies Researcher Profile