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FieldPhysics » Solid state physicsEducation LevelMaster Degree or equivalent Skills/Qualifications Profile of Candidates/Requirements: A Master's degree or equivalent in a related field. Proficiency in Python
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or Mathematical Sciences. An MSc (merit or distinction) in a relevant subject would also be advantageous. Knowledge and experience with AI/Machine Learning in Python, preferably with images. Location flexibility
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or medical imaging. - Technical Skills: Proficiency in programming languages such as LLMs, CNN, DNN, Python, MATLAB, or R, with experience in imaging software and AI frameworks is desired. - Research Acumen
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, including sample preparation, imaging (e.g., micro-CT), or mechanical testing. Proficiency in programming (e.g., Python, MATLAB, or C/C++) and data analysis. Experience integrating experimental data with
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neurophysiologiques (EEG, oculométrie, mesures autonomes) constituera un atout. Des compétences en analyse de données et en programmation (Python, Matlab ou R) sont souhaitées, ainsi qu'un intérêt pour les méthodes
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programmation (par exemple en R, Matlab ou Python), ainsi qu'une pratique musicale seront appréciées. Une forte motivation, de la curiosité, de la créativité, de la persévérance, ainsi que la capacité à
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good understanding of multimodal AI and Vision-Language Models, solid programming skills, particularly in Python, with experience in frameworks such as PyTorch or TensorFlow, strong scientific writing
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Engineering, Human-Computer Interaction, or a closely related field. Strong programming proficiency in C#, C++, or Python. Hands-on experience with foundational AR/VR development platforms, such as Unity3D
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data storage (Azure Data Lake, AWS S3, or equivalent). Proficiency in Python, Node.js, or similar programming languages. Experience with CI/CD tools, containerization (Docker), and version control (Git
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Auditing Engineer experienced in developing efficient and scalable data pipelines in Python, designing and managing NoSQL databases, working with cloud computing platforms, and in working with LLM APIs