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soil from field sites across Denmark alongside fellow scientists and field station personnel. Planning and executing of field- as well as lab-experiments. Achievement of laboratory data, analysis, and
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and external partners in Denmark and abroad. You will work with the design and execution test campaigns, the analysis and interpretation of data, and the dissemination of results in high-quality
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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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of inorganic and coordination compounds, including discrete complexes and related systems, using methods such as X-ray diffraction (XRD), thermogravimetric analysis (TGA), scanning electron microscopy (SEM) and
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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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: You have experience and active interest in data analysis register data programming (e.g., in R) Place of employment The place of employment is at the Section of Biostatistics, Department of Public
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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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with sustainability assessment methods, including life cycle assessment and related modelling approaches, and you have applied these in cases and analysis related to biobased products and the bioeconomy
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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