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atmosphere, modern infrastructure, a high level of technical expertise, and numerous opportunities for interdisciplinary collaboration. For further information please visit: http://ibv.unice.fr/ Where to apply
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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numerical cosmology. The successful candidate will lead the develop of realistic simulations of a galaxy, lensing, X-ray and CMB secondary observables. This will be built on the backlight simulations, a new
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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for biological data analysis Work with large-scale datasets such as: Genomics / transcriptomics (bulk, single-cell, spatial) Epigenomics, proteomics, or multi-omics data Design data preprocessing, feature
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. The project involves numerical modeling to investigate the physico-chemical processing of radioactive iodine emissions as they disperse in the atmosphere. Understanding these processes, and especially
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interactions. Development and use of numerical simulation tools to study plasma–dark matter interactions. Analysis of astrophysical data to search for observational signatures of this physics. The group also
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computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
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involve conducting or supporting LC‑MS metabolomics analyses, processing complex datasets, applying multivariate and machine-learning approaches, and contributing to pathway analysis to help uncover key
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Knowledge of atmospheric dynamics, process scale models, and numerical computation techniques Knowledge of data analysis Knowledge of using atmospheric observational datasets, data assimilation techniques