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relevant PhD or equivalent qualification/experience in a related field of study, and will have experience in the coding and development of RShiny apps. The successful applicant will be a nationally
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and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real
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the University and with external collaborators. Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research
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, principles and theories. Develops tools and code to conduct advanced analyses of ocean and atmosphere datasets. Adheres to University and unit-level policies and procedures and safeguards University assets
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statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS, R, Jamovi and JASP). Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g
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with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g., in R, MATLAB, Python). Experience with research project management. Experience with supervising research staff and students
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-HQ-2026-0111 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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members. ● Conduct training sessions on statistical methods, programming, and analytical tools as needed. Quality Assurance: ● Ensure adherence to best practices in data quality, code review
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conference. In addition, the Research Assistant may support with entry and coding of collected data. This position will provide technological support and perform administrative tasks as needed to ensure
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members. ● Conduct training sessions on statistical methods, programming, and analytical tools as needed. Quality Assurance: ● Ensure adherence to best practices in data quality, code review