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parameterisation, sensitivity analysis and optimisation is an advantage. Good competence in time series analysis, dynamical systems theory and bifurcation analysis is an advantage. Interest in translational
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supports these educational activities and further contributes to the group’s research priority in model-based policy analysis for sustainable development. Qualifications and personal qualities: Applicants
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and further contributes to the group’s research priority in model-based policy analysis for sustainable development. Qualifications and personal qualities: Applicants must hold a Norwegian PhD or an
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: Experience with R (data wrangling, visualization, statistical modelling) Experience with experimental methods (e.g., eye-tracking, EEG/ERP, self-paced reading, speech production) Experience working with
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- OsloMet As a PhD Fellow at OsloMet, you have the opportunity to apply for funding for extended research stays abroad . Qualification requirements Master's degree within performing arts, visual arts
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and associated with the ERC Consolidator Grant project Data-Driven Approaches in Computational Mechanics for the Aerohydroelastic Analysis of Offshore Wind Turbines - DATA-DRIVEN OFFSHORE (Grant
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statistical analyses of individual trajectories and variability preparation of scientific publications based on the KVIKK dataset The project combines ongoing data collection with analysis of existing data
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Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine
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are seeking a highly motivated Postdoctoral Fellow with strong expertise in RNA-seq and multi-omics data analysis. Candidates should be proficient in Python and/or R and have a solid background in Biology
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to the analysis and publication of data that has not yet been fully utilized within the project. Applicants shall develop independent and relevant research ideas within the scope of the project and articulate