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, or Biophysics, with strong quantitative and analytical skills and proficiency in MATLAB and/or Python. Experience with preclinical MRI/fMRI/MRS, rodent models, image processing, functional connectivity, and
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familiar with programming languages such as R or Python and have a good command of written and spoken English. Those with expertise in MRI imaging analysis and neuroscience in clinical population, especially
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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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to characterize the brain network interactions using connectivity and graph theory metrics. Develop reproducible computational pipelines in MATLAB, Python, R, or similar platforms for electrophysiology processing
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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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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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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