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listed on the page above are of interest to you. The list includes positions covering Groupoid C*-Algebras, Ideal Structure and KMS States, Probability Theory and Analysis. The list may be updated with new
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differentiation (ideally mouse ESCs), single cell sequencing, method development, flow cytometry/FACS, and/or CRISPR-based perturbations, data analysis. Theoretical background in epigenetics and embryonic
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Professor Jesper W. Schneider. The position will involve a combination of quantitative and qualitative research tasks, including bibliometric analysis, social network analysis, survey design and analysis
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with multi-colour flow cytometers. Project experience in virology preferentially knowledge of working in biosafety class 2/3 virus production and virus infected cell culture Single-cell analysis
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, chemistry, microbiology, social science, geography, economics, to policy analysis. Basic as well as applied research is conducted on some of the major challenges facing society, such as pollution and
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-Norm) is preferred. Experience with citizen science, co-creation, or other participatory/qualitative research methods is an advantage. Strong quantitative and statistical analysis skills (e.g. SPSS, R
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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and KMS States, Probability Theory and Analysis. The list may be updated with new areas up until the deadline for application. As a successful candidate you are expected to: shine in individual and
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of Computer Science at Aarhus University has a strong research and education profile that spans theoretical and practical computer science. The Data-Intensive Systems group studies management and analysis of complex
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, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics workflows. Both positions are initially