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/, or Prof. Ong's website at https://cascoglab.psy.utexas.edu/desmond. This position is a for a fixed-term of one year. Purpose The Computational Affective and Social Cognition Lab (CASCogLab) in
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- One Method Does Not Fit All: Co-design of Context-aware Adaptive Mobile Authentication for Older Adults”, “2024.14974.PEX”, “DOI: https://doi.org/10.54499/2024.14974.PEX ”, funded by the Fundação para a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
Selection Criteria: PD&PEWER_Academic B_Research Fellow.pdf About the opportunity This position is a fixed term for a period of up to 12 months to play a major role in building a model of hydrogen
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, you will work with fellow academics and professional services colleagues on the design, coordination, and evaluation of integrated knowledge-mobilisation activities, ensuring that insights generated
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, clinical and health challenges; contribute to co-designed research approaches; and develop, validate or document AI-enabled tools, software, models, workflows, prototypes or partner-facing outputs. Draft
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, biological, clinical and health challenges, co-design research approaches, and contribute to validated AI-enabled tools, software, models, workflows, prototypes or partner-facing solutions. Skills and
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approaches, and contribute to validated AI-enabled tools, software, models, workflows, prototypes or partner-facing solutions. Skills and knowledge: Completion of a PhD or equivalent accreditation and standing
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yield, forage nutritive value, dairy animal performance, and production economics. This project integrates field research, statistical modeling, stakeholder engagement, and development of decision-support
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is indispensable, to many international science and engineering projects and products, such as climate change modelling. The FortranFuture NetworkPlus project is a three-year EPSRC-funded project
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools