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and for data analysis and interpretation. About the project/work tasks: The first position is part of the research project Thermos (Regional downscaling of eco-physiological theory - confronting global
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completed by 31.12.2025. It is a condition of employment that the PhD has been awarded. Documented experience and confidence in quantitative analysis and computer programming, preferably using R, MATLAB
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CouncilAdvanced Grant led by Professor Jill Walker Rettberg, with a team of two other postdocs, two PhDs, a research advisor, a data management expertand a research assistant. The project will explore and test the
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other postdocs, two PhDs, a research advisor, a data management expertand a research assistant. The project will explore and test the hypothesis that deep narrative structures in the datasets used
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
no later than two months after taking up the position. For more information see: http://www.uio.no/english/research/phd/ Personal skills Self-driven and highly motivated about fundamental science. Very good
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submitted to the department no later than two months after taking up the position. For more information see: http://www.uio.no/english/research/phd/ Personal skills Self-driven and highly motivated about
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15th June 2025 Languages English English English The Department of Clinical and Molecular Medicine has a vacancy for a Postdoctoral Fellow in artificial intelligence-based image analysis Apply
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, statistical analysis of data, and modelling. Some of the work will be conducted in close collaboration with our international partners, and therefore, periodic travel is to be expected. Qualifications and
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. This work will form the basis for our further research in the Arctic. The work will include bioinformatics of metagenomes and transcriptomes, statistical analysis of data, and modelling. Some of the work will
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. Experience in scientific programming (e.g., Matlab and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured