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perspective, covering all phases of the research data life-cycle from planning, collaboration with data, management and large-scale computing/analysis/visualisation in active projects, to data publishing and
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research service in the comprehensive analysis of chemical contaminants and small molecules in human and environmental samples by target and nontarget mass spectrometry, also called chemical exposomics. Main
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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microbial ecology. The research could also address advanced data-driven and machine-learning approaches for the analysis and integration of complex neural and movement data, supporting new insights
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’ system engineers. Train and support users in sample preparation and data collection (both for siungle particle and tomography). Provide advice and hands-on guidance in data processing and analysis, helping
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position as Associate Senior Lecturer. Data-driven precision medicine and diagnostics includes computational analysis that integrates molecular and clinical data for precision medicine and diagnostics
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. Forest Mycology and Plant Pathology ), inventory and analysis of terrestrial resources and the environment (Dept. of Forest Resource Management ), aquatic biodiversity, microbial ecology and environmental