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studies Proficiency in one or more programming languages (preferably Python) Independent and structured way of working Strong English skills; German skills are an advantage Our Offer: We work on the very
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, engineers, PhD students, and postdoctoral fellows, at the interface between fundamental research, technological development, and experimental validation. Where to apply Website https://emploi.cnrs.fr/Offres
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, including fine-tuning techniques, RAG, and agentic workflows. Knowledge of wireless network, including WiFi, O-RAN, vRAN, and edge/cloud computing. Excellent programming skills in Python and popular
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method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international
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. R, Python, MATLAB or similar) Ability to integrate molecular, clinical and experimental data in translational research projects Experience in scientific communication, including publications and
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graduate student at the University of Michigan Available to attend lectures and lead lab sessions Demonstrated knowledge and skill in Python, including libraries and methods relevant to scientific computing
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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. High motivation, ability to quickly
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will require a strong interest in experimentation, reproducibility of results, and reading scientific papers. Good programming skills (in practice Python) are expected, as well as a genuine interest in
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Django Python development. Experience with VCS, preferably Git. Advanced skill level in CSS, HTML5, and JavaScript. Knowledge of MVC and responsive web designs. Knowledge of application testing and
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architectures (e.g., convolutional neural networks or transformers); deep specialization is not required. Exposure to Generative AI concepts and large language models (LLMs) is a plus. Proficiency in Python