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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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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP
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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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, 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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development, intelligent software architecture and design, automated testing and verification, code generation and repair, DevOps and deployment automation, software maintenance and evolution, software
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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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-on learning and research opportunities. The Postdoctoral Research Associate will contribute to the development of algorithms and software that enable teams of robots to perform coordinated maneuvers, self
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independently and as part of a collaborative research team. Preferred: Familiarity with relevant software packages and/or programming languages, such as Bruker TopSpin, Varian VnmrJ, Mestrelab Mnova, and Python
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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