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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Post-doc on formal verification and algorithm discovery for numerical analysis About us and our
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statistical software including Stata, R or SAS, python. Have an emerging publication track record with high impact publication(s) within biostatistics, cancer and health services research or another related
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qualitative and/or quantitative data, using statistical software such as NVivo, SPSS, SAS or Stata. Excellent written communication skills, including the ability to prepare peer-reviewed publications, policy
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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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). Design and fabrication of the calibration test phantoms Developing and testing acquisition software, and implementing image analysis algorithms and localization methods. Where to apply E-mail
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machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
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written English skills (B2 level or equivalent, certified), ability to read, understand, and write in scientific English. 7. Knowledge and ability to operate computer software. 8. Analytical thinking
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-throughput phenotyping at ORNL's Advanced Plant Phenotyping Laboratory (APPL) with paired geochemical and microbial measurements. Utilize laboratory equipment and software that may include a Picarro gas
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, collaborate with interdisciplinary teams, publish in leading scientific venues, and contribute to emerging QHPC software and system technologies. Major Duties/Responsibilities: Develop and evaluate
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implementation of constitutive models within commercial and/or open-source finite element software is required. Preferred Qualifications: Demonstrated expertise in multi-physics FE simulations is preferred