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use your skills to answer fundamental biological questions in health and disease. The successful candidate is expected to leverage their skills in proteomics and computational analysis to interrogate
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health, though expertise in these areas is not required for applicants. The position will involve primary responsibility for data organization and statistical analysis, as well as co-authorship
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efficacy through laboratory analysis of pig-derived samples, using immunological and cell culture-based assays. The project involves collaboration with The Department of Cancer and Inflammation at SDU, where
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Applications are invited for a post-doctoral position to develop and apply advanced mass spectrometry and data analysis methods to investigate plant-microbe interactions in soil, within the research
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conditions including psoriasis, hand eczema, and actinic keratosis through advanced stratum corneum nanotexture analysis. We are looking for an exceptional candidate with expertise in instrumentation
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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
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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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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process modelling, experimental data, model parameters and modelling approaches in order to optimize design, analysis and operation of complete capture processes. The goal of the project is to develop
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and data analysis as well as research management, oral and written communication, and networking. Participation to international conferences to facilitate successful integration into the cilia research
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data management Knowledge of material flow analysis, life cycle assessment modeling, social-LCA, and/or life cycle cost modeling Concepts of circular economy, climate mitigation models, planetary