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of these areas to systems chemistry, systems biology, metabolic networks, or microbial communities is an advantage but not a must. Solid competences in programming and ease with formal thinking are prerequisites
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with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
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, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is the Department of Biological
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Research Assistants, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration
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Research Assistants, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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characterisation of molecular building blocks and templates; enzymatic synthesis and analysis of dynamic systems of oligosaccharides; biophysical studies using spectroscopy (NMR, UV-Vis, fluorescence and CD
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Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience with
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. Characterization and demonstration of the blue OPA based UOWC system. Supervise BSc and MSc student projects, and be co-supervisor for PhD students Data analysis, writing of scientific articles and presentations