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Field
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Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field. Programming experience in a language such as Python or R. Experience working in a
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environments. Specific Requirements Dominio de lenguajes de programación (Python, R, SQL u otros similares) y experiencia con pipelines de datos, APIs y entornos de servidor. Se valorará experiencia previa en
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preferred. Skills in one or several programming languages (e.g. Python, Fortran, C++) are necessary. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023-ANTGUS-003/Default.aspx Work
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degree in hydrology, environmental sciences, climate sciences, or a closely related field. We seek candidates with strong skills in programming (e.g. R or Python), statistics, risk assessments, and data
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• Experimental data analysis (forces, fields, imaging) — good level • Scientific programming (Python/C++ or equivalent) — good level Technical know-how: • Coupling physical models with experimental data — expected
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, optics, ultrasound, or engineering Independent working skills; Strong communication skills in both spoken and written English to work on an interdisciplinary project; Programming skills in Python, Matlab
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Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image processing, 3D geometry, or computer vision; -Processing and analysis
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, intelligent transportation systems, transportation data analytics, AI/machine learning, Web-based transportation systems, or database development; Strong programming skills in Python, C++, MATLAB, Java
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research contributions. Strong programming and software-engineering experience in languages and environments relevant to the lab’s work, such as Python, C/C++, Java, JavaScript/TypeScript, containerization
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of using bioinformatic platforms in life science research. The candidate should be proficient in at least one programming language (e.g., R, Python, C, or C++). They should also have a strong publication