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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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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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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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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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. Quantitative, computational, or mixed-method approaches are particularly encouraged, including but not limited to geospatial analysis, machine learning, predictive modelling, and causal inference techniques
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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
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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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of Machine Learning in Finance (3) Empirical Finance and Climate Finance We provide a rich and engaging research environment for the student. The PhD scholarship offers an attractive package including a tax