9 gis-python-"NTNU---Norwegian-University-of-Science-and-Technology" positions at CEA in France
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experiments. Interested in the challenges of the energy transition. Fluent in English (French is a plus but not required) Publications in academic journals are a plus. Proficient in R, Stata, or Python. Where
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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and programming skills (Python preferred). Excellent written and verbal communication in English. Passion for exploring the frontiers of condensed matter physics. What We Offer · Pioneering
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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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outsourcers. Data analysis basics (with Python or MatLab) is also demanded. General knowledge about embedded software programming may be required (but not compulsory).
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modeling, meta-modeling, or statistical learning Strong programming skills in Python and/or C++ Familiarity with EDA tools, digital architecture, or embedded systems is a plus. In accordance with
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using the Kokkos library, for which there is strong expertise at MdS and within the CExA [1]project. Subsequently, a Python interface will be established to make the code easily usable by the community
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training around all of these aspects for researchers and engineers The essential expected skills are: Good practice of Unix/Linux system and system administration Good programming experience (C/C++, Python
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) based on various libraries. It is developed in modern C++ and offers C, Fortran, and Python application programming interfaces. PDI offers a reference system similar to Python or C++’s shared_ptr with