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of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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should have the following qualifications: Experience in software development, programming with Python, C++, etc. Good/strong knowledge of robot operating systems, robotic control and virtual
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qualifications: Strong experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop biomass Insight into global
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/leveraging large public databases (knowledge of working with public APIs) are advantages although not a must. Proficiency in Python and/or R in scientific computing and reproducible data analysis is a must
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and Python are required. The successful candidate will be based in Odense, under the primary supervision of Prof. Stefan Jänicke. The appointment will be made for 2 (two) years at a competitive salary
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software skills Proven experience with CFD automation, e.g. using PyFluent or similar Python APIs for meshing, solver control, post-processing and data management. Solid experience programming in Python
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., CNNs, UNets, Transformers) Demonstrated experience working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and hands-on experience with deep learning
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-ray diffraction, and X-ray photoelectron spectroscopy would also helpful for this position. Basic programming skills (in Python) is another skill desired for this position. We offer DTU is a leading
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insight Develop and use Python tools for EIS data processing and modeling Perform microstructural and compositional analysis (electron microscopy, XRD, Raman, EDS) Contribute to fabrication of SOE cells (3D