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Field
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in and knowledge of the broad area of soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid
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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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-Intensive Engineering and Science (part of the new Data Science and AI center), and at the National Radio Astronomy Observatory. Required qualifications are: PhD in Astronomy, Astrophysics, Physics, or a
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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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programming, artificial intelligence models, data analysis, and large language model engineering. You will work closely with project leads at RCA and academic collaborators at HKPU, contributing to research
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with Dr. Kate Hoffman to define and lead specific research objectives aligned with the funded aims. Responsibilities will include project management, coordination of data collection and analysis
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in cells and using an age-dependent murine disease model to analyze neuropathogenic mechanisms. ● Perform POWV experiments and data analysis following in primary cells and cell lines in BSL2/BSL3
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candidate will have expertise in data analysis/interpretation, publication of results in the scientific literature, and a valid driver’s license. Additional Skills: Strong interpersonal skills, excellent
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113,000 jobs. Yet, disruptions from Brexit, the pandemic, and new regulations have created bottlenecks and raised sustainability concerns. TRACE will deploy technologies like hyperspectral imaging, computer