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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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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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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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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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technologies such as IoT, big data, analytics, computer vision, cloud computing, and artificial intelligence (AI). IoT devices help in data collection. Sensors plugged in tractors and trucks as well as in fields