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Field
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, primitives for quantum machine learning, and advanced aspects of learning theory. The work is both theoretical, i.e., formulating and proving theorems, and numerical, i.e., converting algorithms into code and
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in nano-Darcy shale rocks and propped fractures, with analytical and numerical modeling to interpret multiphase transport and evaluate optimal drawdown strategies for improved production. In
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physics, non-Hermitian theory, and nonreciprocal thermal photonics. The role will focus on the theoretical modelling, numerical simulation, and experimental analysis of diffusive and thermophotonic systems
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We are recruiting full-time Research Fellows to develop hybrid physics-AI methods for weather applications Available data include: • Numerical weather prediction (NWP) model outputs
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, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate
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one of two centers in Vancouver and only five centers in Canada with hyperpolarized 129Xe MRI capabilities. To date, the MRI Core operates numerous ongoing clinical studies in pulmonary imaging and has
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structural components iv. Data acquisition, instrumentation and monitoring during laboratory testing Perform numerical modelling and simulation, such as finite element modelling, parametric studies, and
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of PhD submission. Strong scientific programming skills in Python. Knowledge of mathematical models of biological systems and numerical methods for differential equations. Experience developing and
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derived theoretical frameworks from the European Research Council – Starting grant ‘OceanCoupling ’ project and numerically implement the theoretical models. Interested applicants must address why and how
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) on VMS deposits in the Arabian Shield. The Arabian Shield hosts numerous Proterozoic volcanic massive sulfide (VMS) deposits, including several world-class Cu-Zn-Au-Ag ores. With the rapidly growing