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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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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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the PhD students and technical staff involved in the project, and will take part in both field and laboratory experiments. The fixed-term contract is offered for one year, renewable Organisation and
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will lead the excavation, as well as the study and publication of the Abbasid-period archaeological site of Kharāyib al-Sihlah (c. 8th-10th centuries CE). Technical and scientific activities - Lead the
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Biogeochemical study of cereals dating from protohistory and antiquity in