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Field
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, uncertainty-aware parameter estimation, surrogate modeling, and reduced-order modeling where relevant. The scientific emphasis is mechanics-first: we are looking for someone with strong foundations in nonlinear
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, differentiation, and pathogenic function Perform multi-parameter flow cytometry, intracellular cytokine staining, ELISAs, and T cell–dendritic cell co-culture assays Execute murine autoimmune disease models Assess
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 22 days ago
phase kinetics and photochemistry are studied in the laboratory, producing experimentally derived parameters to drive complex computer models that simulate the atmospheric chemistry of interest
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-orientational metrics such as the q₃ parameter, correlate with electronic transport, optical response and thermal behaviour. Requested to have expertise in device simulation, the researcher will also study
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control probe positioning and ultrasound imaging parameters. 4, Design and test intuitive human-machine interfaces to support non-specialist users in operating wearable ultrasound devices. Conduct
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process modeling, simulation, and systems analysis Experience with experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control
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experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control methods is a plus Programming experience in MATLAB and/or Python Familiarity
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candidate will be expected to: Develop and optimize processes for the modification and nanostructuring of glass and optical material surfaces. Investigate relationships between fabrication parameters, surface
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feedstocks – including fibre structure, crystallinity, purity, accessibility and water retention – and relate these parameters to the suitability of the raw materials. You will plan and carry out systematic
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parameters without sacrificing accuracy by analysing the use of low-dimensional building blocks Implicit Regularization. We aim to develop mathematical understanding of implicit regularisation properties in