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techniques for biological tissue studies. The candidate will work is this research team. The PhD candidate will present his work in international conferences around the world (1 to 3 international trips
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hold a PhD in cell or developmental biology, with possible previous experience in microscopy and quantitative imaging. The successful candidate will be expected to work in an interdisciplinary and
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address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical
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, robotics. Degree, education, and qualifications • Degree: PhD • Field of study: Robotics / Mechatronics / Control Engineerin LanguagesFRENCHLevelGood Research FieldEngineering » Computer engineering
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ICT Services & Applications. Your role The PhD position is part of the CART-4D project, a "Made in Luxembourg" collaboration between the University of Luxembourg and ARSPECTRA . The doctoral candidate
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perform prioritized Non-Targeted Assessment across diverse water matrices and case studies, while the AI4Science PhD will develop machine‑learning models that learn from and build upon these pNTA results
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insufficiently understood from a mechanistic and modelling perspective. This PhD project aims to develop innovative mathematical and computational models that describe how trees exchange carbon, water and
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scientific documents Degree, training and accreditation Degree : doctorate or PhD Field of study : Computational Mechanics LanguagesENGLISHLevelGood Additional Information Work Location(s) Number of offers
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PhD students and 40 fixed-term contract staff. The research work will be carried out within the D2-FTC department, Fluids, Thermal and Combustion, which corresponds to a continuum ranging from fluid
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the University of Poitiers and ISAE-ENSMA (partners). It has around 600 staff: 200 EC, 40 researchers, 100 IT, 180 PhD students and 40 fixed-term contract staff. The research work will be carried out