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their 4th or 5th year of studies (M1, M2 or gap year) - Computer vision skills - Machine learning skills (deep learning, perception models, generative AI…) - Python proficiency in a deep learning framework
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, with the longer-term objective of improving the prediction of fast-charging behaviour. Your project will be to build or adapt a machine-learning interatomic potential for lithiated graphite using density
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in the field of operational research and/or machine learning algorithms would be a plus. In accordance with the commitments made by the CEA to promote the integration of disabled people, this job is
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have skills in eukaryotic cell biology, electron microscopy, and bioimage analysis. You have a basic knowledge in integrative structural biology, and in AI / deep learning approaches and/or sub-tomogram
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well as their integration into the existing process flow. Using an innovative direct etch approach, the postdoc will study the impact of the process step on the superconducting properties. The influence of line dimensions on
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an innovative technology through the complete development process: Physical modelling → CFD simulation → prototype development → experimental validation → scientific publications and technological innovation
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to strengthen your skills, acquire new ones, and enhance your mission. A work-life balance recognized by our team members. Remote work options to reduce commuting time and improve your quality of life. A rich
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your skills or acquire new ones, excellent medical insurance, subsidies for the use of public transport (85%) and the staff canteen, holidays and a variety of cultural and sports activities. Home working
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control system; Developing, testing and applying advanced data processing tools; Analyzing fluctuation and correlation measurements and comparing the results with theoretical predictions; Building databases
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equations, while the phase-field variable itself can also follow an hyperbolic evolution law that captures inertia or rate-dependent effects in the damage process. Explicit schemes are attractive for dynamic