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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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laboratories, including a shielded chamber for measurements of the effects of electromagnetic exposure and radiation. To strengthen our research in the field of artificial intelligence (AI)-based spectral
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the Department of Biology at New York University is seeking a Postdoctoral Associate to study axonal mRNA transport and how this unique pathway influences mitochondrial quality control in neurons in the context
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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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teaching in key and rapidly evolving areas such as autonomous systems, data-driven modeling, learning-based control, optimization, complex networks, and sensor fusion. Research at the division is
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advanced plasma diagnostics, plasma-based surface treatments, and surface characterization, with theoretical work focused on the modeling of such discharges. The PhD topic proposed here contributes
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to
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funded research projects: (1) a community-based Food Is Medicine intervention designed to improve diet quality and blood pressure among adults with hypertension and (2) a metabolomics project to identify a
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computing infrastructure. The main tasks will include: designing, implementing and documenting programming components supporting experiments with AI models (including LLM, generative models, complex system