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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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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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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
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monitoring, control and predictive analysis during experimental operation. Both positions include reporting and publication of the results, and the opportunity to contribute to the supervision of PhD and MSc
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others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent frameworks). Hands-on experience with data representation and embeddings, ideally applied
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vesicle-based signalling to nutrient-use efficiency. Manage data, perform statistical analysis and exchange results with project partners producing synthetic EVs and modelling the data. Contribute