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industrial foundation models by integrating heterogeneous industrial information, including vibration signals, motor current signals, time-frequency representations, operating parameters, and textual fault
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of publications in relevant domains (informatics, machine learning, AI, knowledge representation) Experience with multi-site data harmonization or federated data environments Special Instructions Priority
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precipitation associated with monsoon low-pressure systems. You will also investigate the role of vorticity aggregation in the initiation and intensification of monsoon depressions, advancing knowledge
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for biomedical or imaging applications Familiarity with multimodal data integration (e.g., imaging + spatial proteomics, genomics, transcriptomics) Knowledge of self-supervised learning, contrastive learning
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algebraic complexity, with emphasis on GCT, border complexity, Waring/tensor rank, and connections to representation theory and algebraic geometry. Publish research outcomes in leading venues in theoretical
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bring together observational and theoretical approaches to build, inform, and test the representation of tropical forests within Earth system models. NGEE-Tropics aims to fill the critical gaps in knowledge
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to increase Aboriginal and Torres Strait representation in the University, Aboriginal and Torres Strait Islander people are strongly encouraged to apply for this role, pursuant to Section 51
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, engagement, and professional representation. Contribute to the smooth running of the research group and project activities, including collaborative planning and knowledge sharing. PhD (or equivalent) in
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knowledge of their development and structure. Working closely with colleagues at the Universities of Leeds and Reading, you will integrate theoretical understanding, observational data, and modelling
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communities; Knowledge of methodologies, tools, and techniques for territorial representation, taking into account multiple scales, temporalities, and processes, and the ability to integrate these with