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quantitative field. Good scientific programming skills, particularly in Python, are required. Experience with atmospheric dynamics, numerical modelling, machine learning, or large meteorological datasets would
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participating in research projects (20%); c) Experience in programming in Python and related languages (20%). 10. Selection Jury Composition: Ana Isabel Pereira José Lima Inês Sena 11. Method of publication
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to annotated cell types Experience of working with non-model organisms, where reference resources are incomplete and annotation cannot be taken for granted Strong programming skills (e.g. R and/or Python) and
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functional MRI Experience in programing (e.g. Matlab or Python) Proficiency in literature review and advanced statistical analyses Excellent written communication skills in English A statement of research
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for analog and RF circuits toward energy-efficient AI-driven 6G transmitters. Your Role and Goals As a Doctoral Researcher, you will: Build hardware-aware behavioral models of analog and RF circuits in Python
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venues for AI/Machine Learning/Computer Science/Data Science/other related fields; >5 years of python programming experience; Experience with standard AI libraries; Prior proposal development experience
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 days ago
/public/classic/en/offres/2026-10471 Requirements Skills/Qualifications Technical and software skills and level required : Good programming skills in Python, MATLAB, and C++. Ability to design and implement
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experience with empirical research and a strong aptitude for quantitative and technical methods. Experience & competencies Experience with Python and machine learning, preferably applied to medical imaging
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reliability theory, probabilistic methods or statistics Strong computational skills, including programming (e.g., Python, MATLAB) and nonlinear finite element analysis (e.g., Abaqus, LS-DYNA) Knowledge
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(e.g., using Blender or comparable 3D rendering software), to support scientific communication and dissemination of the project's findings. Experience with Python programming, including data analysis