52 data-visualization-analysis Postdoctoral positions at Aarhus University in Denmark
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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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and fungal spores. The geographical focus is on both the urban environment and agricultural areas in Denmark • You will be contributing to the dynamical integration of near real-time data into WRF
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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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can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas
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. Experience developing, testing, and validating methods, data frameworks, and prototypes. Experience collaborating with universities, private companies, and public-sector organisations at national and
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to research on food systems that results in relevant and positive societal impact (for more information see www.mapp.au.dk ). The research project CIRCULARIS – Circularity Indicators and Resource Circularity
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Stochastics. The positions have 1st January 2027 as earliest possible start dates. You can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about
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experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication of research results. For non
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one language used for computational modelling and data analysis, such as Python, R, Julia, MATLAB, NetLogo, or C++. Preferably, you have demonstrated experience with data-driven computational modelling
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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