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in Python and affinity with large geospatial datasets. Interest in interdisciplinary research at the interface of geoscience, engineering, and societal impact. Good communication skills and willingness
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experience with work with human cancer cell lines, stem cells, and/or immunohistochemistry is a plus Programming skills with Python or R is a plus Excellent communication skills A solid experimental or
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, provided they have advanced training in methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid
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, modelling and simulation in CFD/FEA. Experience with scientific programming (at least Python and C++). Excellent written and spoken English. Very strong team working skills in international, interdisciplinary
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Analysis: Experience with programming (for example Python/Matlab) and image analysis is highly emphasized. Such experience should be documented. Scientific Curiosity: You are eager to bridge the gap between
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Intelligence will be considered an asset. Track record of research excellence. Programming skills (Python, MATLAB, C++, etc). B2-C1 English Level. Good communications skills. LanguagesENGLISHLevelExcellent Years
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Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern
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image analysis, deep learning as well as mathematics. You have substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently. Since
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degree in bioinformatics, computational biology, statistics, or a comparable field Strong programming skills in common analysis environments such as R and/or Python Experience in the analysis of single
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: Computer Sciences/Earth and Environmental Sciences Skills: Other requirements: - Experience in languages and tools such as Python, SNAP, C/C++ and R; - Training and knowledge in Remote Sensing (optical