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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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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
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valves and blood for further analysis. If successful, in establishing this model and reliably inducing IE, the next step will be to investigate other pathogens, such as Streptococcus and Enterococcus
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researcher to work at the interface of statistical data analysis, population-based research, and precision medicine in neurodegenerative disorders. The ResiliDem project aims to identify resilience and risk
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diagnostics extracted from the simulations. Further details about the project can be found here . The successful candidate will contribute to the main goals of the project, with emphasis on data analysis and
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Qualifications Required qualifications: PhD in Social, Cultural, Visual Anthropology or closely related discipline. If you’re at the final stages of your PhD, you may still apply if you have submitted your PhD