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microbial ecology can be used to inform sustainable management practices that increase soil carbon stocks and reduce nitrogen losses. And the main focus of your position will be soil molecular analysis and
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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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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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. Experience with one or more of the following will be considered an advantage: RNA sequencing or other omics technologies, including data analysis; advanced microscopy or image analysis; renal physiology
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, and a waitlist control condition. Data will be collected by the time the postdoctoral researcher starts, allowing the researcher to focus on analysis, writing, and publication. The position is suited
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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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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strategies across Denmark, which includes but not limited to nitrification inhibitors and other fertilizer management strategies. A key part of this work will be performing uncertainty analysis and model
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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