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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
(cartilage, bone, synovium, muscles). In addition, the candidate will be trained to use the Aurora 3-in-1 Whole Animal System and corresponding software to measure muscle strength in rodents and to score
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statistical software package. Good communication skills in English. Required Application Materials: CV (no cover letter or letters of reference required) Stanford is an equal opportunity employer and all
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computational thermodynamic (CALPHAD) software, such as Thermo-Calc, DICTRA, PANDAT, or FactSage. Proficiency in materials data analytics, including correlation analysis and machine learning techniques. Preferred
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or ion mobility in the acquisition of data of higher quality. To refine the current data processing and metabolite annotation workflows in non-targeted approaches using vendor and open access software
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with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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/model documentation, or FAIR data practices. Programming experience in Python, R, Julia, Java, MATSim, GIS tools, or related software. Experience working across disciplines or with stakeholders in
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initiatives with deliverables such as datasets, software, scholarly publications and public-facing contributions. The position will be housed in the research group of Prof. Nathan Schneider under
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Languages Fluency in written and spoken English Computer skills Skilled with data analyses software (R/Python) Experience with using high performance computing clustersAdvanced MS Office experience
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, LDAV, eScience, ISC, SC) Contribute software, prototypes, and design patterns to shared research infrastructure at ALCF and across DOE projects This postdoctoral position directly supports ALCF’s mission
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-mining/NLP pipelines). Experience developing research software that supports end users, including building web-based tools/platform features, APIs, dashboards, and deployable prototypes (level of depth can