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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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for managing End-of-Life (EOL) products, decision-making models for recovering, refurbishing, and reusing components from returned products, creating product and component traceability, effective disassembly
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the assessment of your qualifications. Key scientific qualification areas Molecular biology Yeast metabolic engineering Analytical chemistry / pigment analysis Heterologous expression of algae proteins Protein
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verification. runtime analysis and reconfiguration of in-vehicle TSN networks. Co-supervise MSc and PhD students. Optionally contribute to teaching and proposal preparation. Required qualifications: As a formal
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and interest in functional analysis of proteins. Motivation and strong analytical and organizational skills. Strong communication and collaborative skills. Proficiency in spoken and written English. We
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differentiation pathways are influenced by different microenvironments. We use state-of-the-art single-cell data generation combined with computational analysis to establish principles of blood lineage
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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interdisciplinary team, bridging bioimaging, T-cell immunology, basic skin biology, immune cell engineering, and multiomics analysis. Your Role The appointed researcher will be responsible for: Purify and culture
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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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or administrative 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