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Field
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development, calibration, and application of SWAT+ or comparable watershed models. Experience with environmental data analysis and scientific programming (e.g., Python, R, MATLAB, SQL, or C++), large-scale
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experience in C++ and/or python is required, along with the responsible use of AI-assisted coding tools. Strong skills in oral and written communications and presentations. A successful candidate must have the
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data analysis (e.g., MRI, EKG) and programming (e.g., Python, MATLAB, R). Expertise in machine learning, deep learning, foundation models/LLM. Excellent quantitative and analytical skills. Strong written
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machine-learning methods to weather forecasting, climate analysis, or spatial data. Strong background in spatiotemporal modeling, probabilistic prediction, or time-series analysis. Proficiency in Python and
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. Python) and experience with commonly used machine-learning and AI tools. Strong publication record in leading conferences or journals. Excellent English communication skills, both oral and written, and the
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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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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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experiments • Analyze imaging and behavioral datasets using MATLAB or Python • Contribute to manuscript preparation and grant development Required Qualifications • Ph.D. in Neuroscience or related field
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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