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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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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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for a candidate with a background in public health, medicine or similar, and excellent skills in clinical epidemiology, advanced data analysis, and a special interest in IBD. The ideal candidate has: A
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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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extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS
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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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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
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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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ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep learning