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Engineering or Computer Science. We would also like to see experience in: Machine Learning, Optimisation, Python, finite elements How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and
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connectivity and brain function. You have affinity with working with large datasets and have knowledge of data analysis and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
in association or cooperation with one or more R&D units, or be enrolled at the date of signing the scholarship contract in a doctoral program; c) proficiency in Python and/or C++. Additional
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with Python and common AI frameworks (PyTorch, TensorFlow) Interest in hallucination detection, robustness, trustworthiness, and (optionally) explainability for autonomous systems (Optional) Experience
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Requirements working in a Linux environment, basic Bash, scripting in Python (awk, R or other); being familiar with protein sequence and structure analyses (eg. structure prediction and docking); knowledge
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at the Doctoral School (i.e., 1st March 2026). Specific Requirements working in a Linux environment, basic Bash, scripting in Python (awk, R or other); being familiar with protein sequence and
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equivalent in a related discipline. This project would suit someone with: Experience with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates
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data assimilation. • Proficiency in one scientific programming language: MATLAB, Python, or Julia. LanguagesENGLISHLevelGood Research FieldOther Internal Application form(s) needed
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geophysics, physics, applied mathematics, or computer science will be considered. Expertise in high-level programming language like MATLAB or Python is essential. Where to apply Website https://emploi.cnrs.fr
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written and oral communication skills Knowledge, Skills and Experience Strong machine learning experience and proficiency in the state of the art data science languages (e.g., python, R) Experience in