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processes. The excellent outcrop exposure due to limited vegetation cover, and extensive mineral occurrences provide a unique natural laboratory to advance predictive mineral system models. Our research will
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examine how current hydrologic modelling platforms that use Potential Evapotranspiration as an input reproduce observations of evapotranspiration. This role will work with state-of-the-art regional climate
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work may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualifications of the applicant and the current needs of the department. No one can be appointed
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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psychology, linguistics, or a closely related discipline for the computational modelling stream: prior publications in computational modelling for research on Formosan languages: excellent spoken and written
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experience in atomistic simulations is preferred. • Development or working experience of generative models in scientific applications (e.g., diffusion/flow model) and working experience with agents
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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of the discipline or similar Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Analysis of multiparameter CyTOF and flow cytometry data Analysis of spatial
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projects while working collaboratively within a highly interactive laboratory environment. Current research areas include: · Circadian regulation of skeletal muscle regeneration and stem cell biology
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machine-learning models using large-scale aviation datasets. Analyse airport surface, runway, terminal airspace, and multi-airport system operations, including traffic-flow and delay-propagation mechanisms