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experience equip you to contribute to the project’s objectives. Where possible, please highlight relevant skills – such as experimental design, data analysis, neurophysiological methods, or legal/regulatory
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together with data from clinics, genomics, proteomics, and metabolomics. Our research group has developed several advanced methods for integrated analysis of the detailed image data and all other collected
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network analysis of interactions between these features. These pipelines and computational tools will be used to integrate imaging and genetic data, and maps of myelin distribution in the cortical grey
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methods for analyses of large-scale genomic data such as genome-wide analyses, polygenic prediction, Mendelian randomization, functional bioinformatical follow up and network analysis. The project will
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functioning [1]. Building on these insights, you will compile and standardise datasets of collective movement and collect new data from multiple species of freshwater fish. From these data, you will identify
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: The doctoral candidate will perform computational analysis of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer's disease or Parkinson's disease. The candidate will use state
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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
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Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural