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optimization of SERS substrates, Raman measurement, data analysis, and validation of results with reference methods such as high performance liquid chromatography (HPLC). You are expected to have a solid
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in functional genomics methods (e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024
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, secure digital communication, medical technology, and new analytical methods. We use and develop basic theory, next-generation instrumentation, and software, and aim to make our data publicly accessible
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of this century. For more information on the CO2 Research Center, please visit www.corc.au.dk For the position, you will use your expertise in microbiology or engineering to study how methanogenic microorganisms
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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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, conduct Raman and SERS measurement, perform data analysis, and implement validation of results with reference analytical methods, e.g., HPLC or LC/MS. You are expected to have a solid background in
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, or related discipline, or a similar degree with an equivalent academic level. You will be expected to have: Excellent written and oral communication skills Research and data analysis Excellent analytical and
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are looking for a person with a relevant degree (e.g. health economics, economics, statistics, data science, public health science). Are you passionate about contributing to a groundbreaking interdisciplinary
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to succeed in performing experiments in the laboratory. Ambition to disseminate the results of your research by participation to conferences and publishing in research journals. Strong analytical and
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the like, are acceptable as well. Advanced analytical skills, quantitative skills, and system-thinking skills are key requisites for the position, as well as the capacity to plan and work autonomously