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of nanophotonic device, preferably with FEM programs like comsol; - good experience in python or matlab programmation; Additional comments None Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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of specific requirements Ph.D. in Bioinformatics, Computational Biology, Molecular Biology, or a related field; Familiarity with programming languages such as Python, R, or MATLAB; Hands-on experience in
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efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python
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to volcanic or heterogeneous environments. He/she must be proficient in numerical modeling tools (MODFLOW, FEFLOW, or equivalent) and have good skills in scientific programming (Python, MATLAB, R). Knowledge in
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processing and analysis routines in Python, MATLAB, or C++. Experience with state-of-the-art artifact correction, registration, segmentation, and (shape) analysis of microscopy images—as well as integrating
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seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB) and willingness
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications The ideal candidate should also be familiar with CAD software (e.g., Siemens NX, Catia...) and software for general scripting/programming (e.g., Matlab
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
(SPM, FSL). Experience with figure-preparation software (Photoshop, Illustrator). Familiarity with Linux and the Bash shell. Experience with Python and/or MATLAB. Statistical analysis experience using
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biogeochemistry as shown in application materials. Data analysis and visualization experience, preferably using programmatic approaches (R, Python, MATLAB, etc.) as evidenced in application materials. Clear