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not required. Experience in programming, simulation and data analysis. Ideally also in experiment automation. Ability to work independently and as part of a team. Excellent communication skills in
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has experience with quantitative data collection and analysis. We’re looking for a colleague who is passionate about the research topic, highly organized and able to work independently, and able to work
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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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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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in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our
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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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Designing and performing immunochemical analyses Bioinformatic analysis of data Data analysis and interpretation of results Scientific dissemination. You will work in close collaboration with other
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and simple quantitative research analysis of born-digital sources by leading international experts ample professional development opportunities within the area of digital history, especially in relation
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, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration. Your work will be
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of supervision at Bachelor’s and Master's degree level. We expect you to have experience with human electrophysiology (i.e. MEG and EEG, in particular hyper scanning), expertise in advanced statistical analysis