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. Invest Ophthalmol. 1975 Nov;14(11):801-25. Stahl JS. Using eye movements to assess brain function in mice. Vision Res. 2004 Dec;44(28):3401-10. doi: 10.1016/j.visres.2004.09.011. PMID: 15536008. Caillet H
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, biological and nanoscience domains. The candidate will be expected to develop their own research project compatible with the project vision, design and execute experiments, analyse and interpret data, and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 20 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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technologies. The project employs an interdisciplinary approach based on collaboration among specialists in text and image analysis, natural language processing, large language models, vision-language models
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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effects of the nanoplastic exposome, from the (sub)cellular to the cell population scale. This research is framed within the One Health vision, deciphering the links between environmental pollution and the
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to build strong cross-sector partnerships and convey a clear research vision. Excellent scientific communication - both written and oral 🛰️ SATELLITE INFORMATION 📆 Launch Date: As soon as possible
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Information Additional comments Candidate profile Applicants should hold a Master's degree in optics, physics, computer vision, deep learning, or a closely related discipline, obtained with a strong academic
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PhD student at ILL: studying In situ neutron diffraction for green steel and functional metal oxides
, France. Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities worldwide. Its
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, France. Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities worldwide. Its