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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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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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Your Job: In an interdisciplinary team, you will implement approaches for the automated, large-scale availability and integration of energy system data and models, applying data science methods
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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. The doctoral candidate will engage in interdisciplinary research, modeling threat actors, and developing AI-based monitoring tools. Responsibilities include publishing in top-tier journals/conferences and
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DOE L-level security clearance Qualifications We Desire: Demonstrated experience with model-based reinforcement learning for real-time control applications Demonstrated experience with convolutional
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, PCR, sequencing, gene expression analysis). • Skills in experimental entomology and infection models (rearing and maintenance of mosquito colonies under controlled conditions). • Ability to design and
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
geophysical research. Experience in GIS-based mapping, tectonic modeling, and/or research relevant to the outer planets satellites is highly desirable. Field of Science: Planetary Science Advisors: Robert