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. PhD Project Description Project Title: Photonic-Inspired Federated Learning for Communication-Efficient Next Generation Radio Access Networks (NG-RANs) Description: This PhD project will develop a novel
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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]. 3. Explore the diversity of signals and perform complementary experiments to finalize the training dataset [Month 6 – 12]. 4. Develop a data analysis process based on machine learning for multimodal
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schools. PhD students are expected to collaborate closely with their supervisors and will produce a PhD based on four papers of a publishable standard. PhD students also acquire teaching experience by
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toward publication and grant writing, as well as support for dissemination of research. The School of Theology, Philosophy, and Music is a dynamic and creative learning environment with a strong commitment
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interdisciplinary research Enthusiasm and willingness to learn new techniques are more important than existing specialisation in the glycosciences. LanguagesENGLISHLevelExcellent Research FieldChemistry » Organic
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Centre for Sociology Of Humans And Machines (SOHAM), joint between Trinity College Dublin and TU Dublin. SOHAM’s team is interdisciplinary, diverse, welcoming and performing cutting-edge quantitative
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Human-centric Digital twins for monitoring robotized biostimulants application practices. University Milan (IT) & Université Libre Bruxelles (BE) Position E Optimizing Images Quality and Deep Learning