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cancer therapeutics and biomarker development to strategically develop our portfolio of preclinical cancer models and ex vivo approaches. Your goal is to enhance our mission to validate and credential new
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diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
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dynamics at depth using viscoelastic and elastic models, wave propagation, and flexure modeling. Much of the research involves understanding what has been called the earthquake cycle: interseismic strain
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. Description: This research opportunity is for candidates with special interest in radar remote sensing of vegetation. The proposed project includes radar scattering and ecosystem modeling. The remote sensing
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and/or gravity as a continuum in the rodent, employing established or emerging ground-based models for simulated weightlessness via hindlimb unloading or hypergravity generated using chronic
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lymphatic identity and immune response. Working at a world-leading institution within a high-impact collaborative environment, you will employ in vivo models with state-of-the-art molecular and cellular
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. Description: Our group uses high resolution ground-based optical and near-infrared solar spectra to diagnose and model different manifestations of stellar activity. Nearby sun-like stars are a crucial sample of
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of data as well as empirical and theoretical modeling of the solar interior and atmosphere, including solar activity and the solar cycle. A program of research is being carried out to understand the coupled
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the galaxy from their sources to the Earth. A developed Monte Carlo computer code is used to study the acceleration process by plasma shocks, while mathematical models have been designed to describe how
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2