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pathogenesis of both Parkinson's, as it is the primary protein constituent of Lewy bodies. Early and accurate identification of Parkinson's is crucial for tailoring therapeutic strategies (for example
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on developing a new multi-disorder prediction approach that integrates different sources of information. You work with analytical model development, extensive simulation studies and analysis of existing large
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within the PhD trajectory? You can read more about this on this page . Your work includes: development and application of image-processing pipelines; multivariate modelling using network analysis and
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engineering or a related field; strong skills in data analysis, machine learning or computational modeling, preferably applied to neuroimaging data; experience with programming and data analysis (e.g. Python
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analysis (EE-IOA) and HTA principles; actionable insights into the environmental impact of two care pathways: fibroid treatment and kidney failure care, directly relevant for policy, HTA and clinical
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skills for functional genomic screen design and analysis. You will build CRISPR tools, design optimized pooled genetic screens (e.g. Perturb-seq–based approaches), and troubleshoot the experimental