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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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Denmark. More information about the research group is available here: https://chem.au.dk/AmorphousMatLab What you will do The postdoc will co-lead beamtime proposals and campaigns, and will work with
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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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energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop
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communication, political behavior, political psychology, or a closely related area. An affinity to computational tools and methods, and strong programming skills (e.g., Python and/or R). Familiarity with research
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programming in Python and the modern AI ecosystem, including PyTorch, HuggingFace, and ONNX and you are comfortable working systematically with complex technical problems. Experience with industrial
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data analysis; proficiency in Python or a comparable language is expected. A publication record appropriate to career stage that demonstrates the ability to conduct and communicate independent
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and other postdoctoral researchers as part of our Lundbeck Professorship grant, which you can learn more about here: https://www.cnap.hst.aau.dk/lundbeck-professorship As a postdoctoral researcher your
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methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C++ • Experience
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with complex pre-clinical in vitro and in vivo models. Programming expertise in Python and R is desirable. As a person, you have good interpersonal skills, are inclusive and team-oriented and able