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Field
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Duties: Conduct all aspects of research projects under the mentorship of the Principal Investigator (e.g., data collection, preprocessing, analysis, software development, testing, evaluation, benchmarking
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determination, and (2) evaluating their nutritional functions in governing gut microbiota responses. This research aims to examine dietary fiber effects on gut microbiota, identify beneficial metabolites, and
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): Computer Science or Informatics: Proficiency in programming and software development with a habit for robust unit testing. Our group mainly develops software in a Python + SQL environment with use of large language
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analysis using data software is required (e.g., SAS, STATA, R, etc.). Qualifications: Doctorate degree in Epidemiology (or related field) from an accredited university by the start date required. Knowledge
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analysis software (e.g., SPSS, R, NVivo) is highly desirable. · Publication Record: Evidence of scholarly productivity, including publications in peer-reviewed journals. · Communication Skills: Strong
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Microsoft Word, Excel, Access and PowerPoint. Preferred Qualifications Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, Python, etc. Experience with ML/DL
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simulation laboratory as well as supporting ongoing DOE projects. Candidates will be required to work in at least 4 of the following areas: Develop a functioning test bed using Opal-RT PHIL real-time platform
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Rocketdyne. The work is oriented on the design and testing of various systems and components for applications with supercritical CO2, H2/NH3, molten salt and particle-based storage systems. The Postdoctoral
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Abilities Training and/or experience with: Programming of behavioral experiments and data analysis (MATLAB, Python, or equivalent), eye-tracking software and hardware (Eyelink or equivalent), MRI, eye
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the development of wireless piezoelectric sensors, encompassing design, fabrication, and testing. Proficiency and experience in Wireless Surface Acoustic Wave Sensors or Bulk Acoustic Wave sensor development