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Field
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, CTR) Design and implement physics-informed deep neural network architectures which accelerate finding electron bunch shapes self-consistently for large measurement campaigns Implementation and
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/actuator integration, and implement control. (PhD#3) Digital Twins (DT). Development of a sophisticated DT as a dynamic representation of the field, modeling crop growth, canopy architecture, and competition
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. Specifically, the project will investigate how dual-polarized array architectures can be optimized to sustain orthogonality and isolation across wide scanning ranges. This includes the design of feed networks
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leveraged to develop functional demonstrators for diverse application sectors, such biomedical, space, and beyond. To achieve this, a neuro-symbolic artificial intelligence (AI) architecture that combines
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dynamic environments, utilising Vision, Language, and Action (VLA) models. The candidate will focus on designing novel training regimes and/or novel architectures for learning in embodied environments
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would approach the project and what methods you would use. Under Campus, please select ‘Loughborough’ and select programme ‘Architecture, Building and Civil Engineering’. Please quote the advertised
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within LTU’s AIC³ Lab (Automation, Industrial Computing, Communication, and Control Laboratory). Subject description The research subject focuses on an integrated development of network architectures
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– Garth James UCD: Advanced microscopy for biofilm architecture – Tadhg Ó Cróinín ARI: Rodent infection models for chronic biofilms – Fintan Moriarty How to apply* Website: Formal applications must be
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31 Oct 2025 Job Information Organisation/Company CNRS Department Etudes des structures, des processus d'adaptation et des changements de l'espace Research Field Geography Architecture Sociology
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properties (size, codon bias, etc.) - Test gene emergence by fusion/fission: trace the history of domain architectures and distinguish mosaics arising from ancestral modules or those introduced by HGT