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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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understand, explain and advance society and environment we live in. Your role Conduct research and prepare a doctoral thesis in metabolic network modelling and computational epigenomics Develop novel methods
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Genomics (EvoMG) is a MSCA Doctoral Network programme that pioneers an integrative approach combining Evolutionary Medicine and Medical Genomics to address critical health challenges. By combining
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PhD Studentship - Process Industries: Net Zero - Algae-omics Award Summary 100% fees (UK Home only), a minimum tax-free annual living allowance at the 2026/27 UKRI rate) (note that the 2025/26 rate
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Evolutionary Medical Genomics (EvoMG) is a MSCA Doctoral Network programme that pioneers an integrative approach combining Evolutionary Medicine and Medical Genomics to address critical health challenges. By
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PhD Studentship Plant Pathogen Interactions Bioprotection School of Agriculture and Environment, Massey University, Palmerston North and the Plant Pathogen Interactions Science Team, Auckland, New Zealand Vacancy number 59425 This is an exciting opportunity to earn a PhD in Science via Masey...
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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The successful PhD student will be co-supervised by academics from the Process
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MATCH Doctoral Network, a Marie Skłodowska-Curie Actions (MSCA) project funded by the European Union, is currently recruiting highly motivated candidates for fully funded PhD positions across top
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, led by Prof. Lara Keuck, is looking for a highly motivated candidate for a three-year PhD project in philosophy of the medical sciences. The PhD position is part of the new MSCA doctoral network
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Description Are you fascinated by the incredible capabilities of neural networks? Are you interested in applying theoretical methods to understand computational efficiency in neural systems? If so, come and