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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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approaches. Experience with quantitative analysis of experimental data using Python, MATLAB or comparable tools. Ability to design, perform and troubleshoot experiments independently. Proficient communication
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, geoscience, physics, engineering or a related discipline. Experience with quantitative data analysis and scientific programming, preferably in Python is required. Experience with hyperspectral imaging
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, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large geospatial, biodiversity
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contributing to open-source Python packages released alongside the methods papers, including close collaboration with the second postdoc on a shared publication pipeline. You will report to the AIMS principal
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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
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general programming tools (such as Python) is desirable. For further information about the research project, please contact Professor H.C. Kongsted: [email protected] . Information about the department is
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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the nutritional value of fermented rapeseed meal and seaweed products and assess their effects on nitrogen (N) and phosphorus (P) excretion, methane emissions, and pig health. Evaluate enteric methane emissions
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, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop implementation or comparable tools. Experience with one or more relevant methods