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spatiotemporal systems by combining physics-driven baselines with data-driven correctors. Formulate and solve inverse problems using Physics-Informed Neural Networks and relevant methodologies. Conduct rigorous
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, pancreas pathology, and novel therapeutics, also in the context of the analysis of live pancreas tissue from organ donors obtained from the Network for Organ Donors with Diabetes (nPOD) , of which Dr
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Family-friendly policies Access to professional development, research networks, and interdisciplinary collaboration opportunities How to Apply Applications should be submitted via the University
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. an established network of academic, industry and professional partners and stakeholders a national reputation as influential in expanding knowledge within the discipline strong understanding of strategic issues in
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, high-content imaging, data science and computational modelling are used to study the biomolecular networks governing cell fate specification and cellular behaviours, such as collective migration and
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diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing . This is a full-time post for 36 months. For further
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experimental characterization of wood based membranes, including chemical, structural, and mechanical. Investigate the internal network structure of membranes to understand anisotropic behaviour
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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programming (MATLAB and Python); knowledge of data processing; experience in mathematical modelling, especially dynamic systems and neural networks; previous experience with burned area algorithms. Contracting