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Field
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background in molecular biology and cell biology. Experience working with animal models. Demonstrated scientific curiosity, initiative, and commitment to research excellence. Ability to work independently
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experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control methods is a plus Programming experience in MATLAB and/or Python Familiarity
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modeling and optimization for metasurface design, integrated with other optical components. Inverse design of optical components such as metasurface photonic-crystal unit cells or VCSELs. Collaborate
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, and bioactive compounds from plant, food, microbial, and human samples; develops and optimizes analytical methods; analyzes complex datasets using metabolomics and statistical software tools
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology
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-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data-driven approach for optimizing the growth of semiconductor materials by combining
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administration. The work relies heavily on the use of animal models for MS and mammalian cell culture. The ideal candidate is expected to be highly motivated with a strong work ethic and demonstrated creativity
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. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures. Conduct research in related areas of battery
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multiple ship classes and shore power applications. The project seeks to deliver industry-relevant modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications