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Field
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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, use of microscopes, data acquisition, inverse problems in imaging, optimization methods and image estimation and in particular knowledge in methods for super resolution structured illumination
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
tools for spacecraft applications, specifically leveraging topology optimization and lattice structures. Building upon prior work at JPL, including the open-source lattice design tool UnitcellHub and an
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
responsibilities include assay development and experimental execution including assay optimization, sample processing (collected from ongoing cohort study in Malawi), PCR primer generation/selection, quantitative
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago
tools for spacecraft applications, specifically leveraging topology optimization and lattice structures. Building upon prior work at JPL, including the open-source lattice design tool UnitcellHub and an
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effective immunotherapeutic targets. Finally, we plan on continuing the path to clinical translation with further preclinical research (proteasome manipulation and optimization studies, bioinformatics
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the current state of knowledge on specific drugs’ PK and PD properties and on state-of-the-art approaches for study design optimization, dose individualization, and PK/PD modeling and simulation. Frequent
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accelerator physicists and engineers, the position requires tackling these challenges by applying machine learning techniques to accelerator tuning and control. You will study beam-based diagnostics to optimize
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work on supercritical carbon dioxide technology. The postdoctoral researcher will focus on developing and optimizing supercritical carbon dioxide systems for processing food ingredients. Responsibilities
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engineers, the position requires tackling these challenges by applying machine learning techniques to accelerator tuning and control. You will study beam-based diagnostics to optimize machine performance as