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Field
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
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analysis of atmospheric numerical model output (e.g., WRF, PALM, SAM) Experience with machine learning and artificial intelligence techniques Experience with predictive modeling Environmental, Health
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along different design options (reward payment paid out as loans or transfer to governments or as universal cash transfers to populations) Applied optimal taxation theory analysis to assess potential tax
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-driven methods for structural analysis under multiphysics loading”. Expected start date and duration of employment This is a 4–year position from September 1st, 2025, or as soon possible. Job description
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temporal properties: ultrabroadband supercontinua, intense sub-cycle field transients, and few-femtosecond ultraviolet pulses, among many others. We combine numerical modelling with experiments to study the
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-resolved micro and nano CT data. Develop and apply numerical implementations in simulation studies as well as to large experimental micro and nano CT data. Explore multi-modality reconstruction techniques
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awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Experience in high-throughput sequencing data analysis. - Track record of first
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the Department of Physics and Astronomy is seeking candidates for a postdoctoral position working on field-particle correlation analysis of observations of magnetic reconnection by the Magnetospheric Multiscale
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analysis of the genesis of norms in the political model of the Lao People's Republic, especially in the development of the new constitution and new codifications in criminal law Support in developing a
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programs leading to the BA and the BS in Applied Physics (BSAP) that can result in careers in numerous professions including engineering and medicine. The Department also presents a range of courses that