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and fed with data available in the literature. The model will first be developed online and then reduced and optimized for integration into embedded electronics, taking into account performance
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capacity to engage in interdisciplinary scientific discussions (with biologists, biophysicists, computer scientists, etc.). Applicants must hold a Ph.D. degree and hands-on experience in cell/tissue culture
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3 research units: Computer Science, Robotics, Micro-Electronics, with additional centralized services. The PhD student will integrate the DEXTER team in the Robotics Department, and will be advised by
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equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
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technical skills. Academic transcripts (Master’s or equivalent; if pending, latest transcript and expected completion date). Contact details of two referees. Applications must be submitted via email by
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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several cutting-edge technological platforms (electron microscopy equipped with two Titan Krios and one Glacios; cell culture; protein production; molecular biology; mass spectrometry, etc.) that give this
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sensors and power electronics [1]. With recent advances in diamond synthesis techniques, new opportunities have emerged for quantum-scale applications, including in high-pressure and biomedical physics
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and technicians) specialized in all the major fields required to design, develop and implement the instruments required for its scientific activities: mechanics, electronics, computer science
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understanding of the levers of engagement and empowerment for people with aphasia in a technology-assisted rehabilitation context. Combining insights from social sciences, ergonomics, and human-computer