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next generation of behavioural modelling methods with applications in transport, health and the environment? Understanding human decision making increasingly relies on analysing very large datasets
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, oscillation, response-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB , R, or related computational environments
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closely with researchers and industry practitioners from UNSW and Adiona Tech, as well as other industry partners, to develop and validate AI-powered methods for sustainable freight and last-mile
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, quantum sensing or quantum parameter estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in relevant scientific programming
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experiments of pristine and (gradually) damaged structures to collect data for the state estimation methods. Develop signal processing methods to estimate, enriched by physics-based information, the current
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University of Toronto | Downtown Toronto (University of Toronto / Harbord), Ontario | Canada | about 16 hours ago
: Course Number and Title: STA380H5S LEC101 Computational Statistics Course Description: Computational methods play a central role in modern statistics and machine learning. This course aims to give an
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experience in quantum metrology, quantum sensing or quantum parameter estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in
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. Desirable: Research experience in quantum metrology, quantum sensing or quantum parameter estimation. Experience with convex or semidefinite optimisation, variational methods, or computational
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programme Reference Number AE2026-0285 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt
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University of Amsterdam (UvA) | Amsterdam, Provincie Noord-Holland | Netherlands | about 2 months ago
horizon years and emission pathways (KNMI’23); Building AI methods for rapid operational damage estimation and for strategic long‑term classification of insurability; Validating methods in both data