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. The work will apply state-of-the-art three-dimensional atmospheric chemistry and circulation models, together with advanced statistical techniques (optimal Bayesian, Markov Chain-MonteCarlo, etc.) to solve
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, CT, and other imaging techniques. Design and optimize multiparametric models to analyze complex imaging datasets and extract clinically relevant features. Develop and optimize newer clinically relevant
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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optimization (theory, modeling, and tools). Candidates should apply at: https://www.princeton.edu/acad-positions/position/39361 and include a cover letter, CV (including a list of publications), research
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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. Experience working with rodent models. Experience with mammalian cell culture. Experience with live-cell or in vivo microscopy. The optimal candidate will have a background in neuroscience or cell biology, as
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
requirements. This can lead to expensive, time-consuming redesigns if requirements are not met. At present, there exists no widely-practiced quantitative methodology for modeling the system and using it to
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 8 hours ago
conditions is essential for designing more efficient TPS solutions (i.e., selecting optimal material systems, reducing design margins). Instrumentation, such as in-depth thermocouples and heat flux gauges, is
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in automated extraction, analysis and standardization of multimodal biological, biochemical and medical experimental data Experience with parameter optimization and ODE-based modeling Strong