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. The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and high luminosity detector upgrades (HL-LHC) of the pixel forward detector and the
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to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO will be tasked with creating open data and computational resources for education researchers and developers
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program in the areas of computational mechanics and/or heat and mass transfer related to manufacturing. Modeling work can be mechanistic, data-driven or hybrid, and novel applications would be welcome
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of methane emissions outputs from CNCPS using methane respiration chamber data to demonstrate that the modeled data correlates with actual measurements and share findings to educate nutritionists. Developing
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utilize computational techniques, including modeling, simulations, and machine learning, to analyze the collected data. They will also be expected to synthesize findings into high-impact publications in top
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include: (1) gather and merge existing data from lab and literature; (2) complete experiments and synthesize data; (3) prepare monthly and yearly updates for funding agency; (4) contribute to lab duties and
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lipid-dependent host-microbe interactions. More information about research in the Johnson Lab can be found at www.johnsonlab.nutrition.cornell.edu . The successful candidate will be expected to run and
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://academicjobsonline.org/ajo/jobs/30069 ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three referencesvia the website. Applications will be reviewed as received
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letter, curriculum vitae, and contact information for three references via the website. Applications will be reviewed as received, continuing until a suitable applicant is identified. Application review
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for reprogramming the immune system. Work with other lab researchers to implement and consolidate data into presentable formats. Plan and implement scientific studies. 20% Reporting - Write peer-reviewed papers