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or above. Fluent oral and written communication skills in English. Programming skills in R, Python, or similar are essential. Previous experience with meta-analysis is desirable but not essential. Previous
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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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for optimally deploying wind-sail propulsion according to weather conditions The project will develop, prototype, and evaluate visual and interaction concepts that make AI advice actionable
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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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“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically
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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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to investigate heat transfer and pressure loss, as well as analysis of experimental data and the use of these for model validation. Building or modifying flow loops with instrumentation arrangement may also be
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for optimally deploying wind-sail propulsion according to weather conditions The project will develop, prototype, and evaluate visual and interaction concepts that make AI advice actionable