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Field
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, distributed intelligence. Techniques such as Federated Learning (FL), Swarm Learning (SL), and Transfer Learning enable organizations to jointly train models without sharing raw sensitive data. However, these
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AMMETIS[1] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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)catalysts. The proposed project aims to develop and investigate new HAT reactions with the control of both the regio- and stereoselectivities (Scheme 1). The design of well-defined model substrates and
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technologies.” Within the Num’Agnel project, the Postdoctoral researcher will be responsible for developing and investigating innovative approaches for the detection of early signs of lambing using video data
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, aims to design, develop, characterize and manufacture theranostic nanovectors for applications in oncology and the treatment of infectious and inflammatory diseases. Nanomedicine is a recent therapeutic
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and human activities. CESBIO scientists make extensive use of remote sensing technologies to monitor environmental changes across spatial and temporal scales and to develop models that address key
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AI for Science and Engineering and Foundation Models and Generative AI axes. The recruited candidate will develop contributions at the interface between machine learning, optimization and quantum
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due to their high persistence. Understanding the temporal evolution of PFAS concentrations and characteristics in ambient air is therefore essential to support the development of appropriate regulatory
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to develop a new experimental method to measure these extremely small surface viscosities. The idea is simple but original: we will perform the measurement at the surface of an horizontal soap film (see figure
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visit the website: https://www.is2m.uha.fr/ . The thesis will be attached to the doctoral school of physics and physical chemistry (ED182), which is co-accredited between Unistra and UHA. The doctoral