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analysis of prepared electrode materials. Responsibilities and qualifications The main focus of the postdoc work will be on structural and electrochemical characterization of carbon materials for sodium ion
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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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Denmark’s distinctively rich registry data, exploring a range of life outcomes throughout early development on the full Danish population (including on crucial subsets such as adoptees). We seek to use
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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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advantage, as is knowledge of genetic methods (e.g., SNP-based data analysis). Application deadline: 31 may 2025 at 23:59 hours local Danish time Please see the full call, including how to apply
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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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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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electron microscopy, single particle cryogenic electron microscopy or X-ray crystallography. Expertise and interest in functional analysis of proteins. Motivation and strong analytical and organizational
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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