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community engagement activities to aid in recruitment and retention Preferred Qualifications Equipment Utilized Proficiency with statistical software (e.g., R, MPlus, SAS, SPSS) Physical Demands and Work
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headset and eyetracker, Vicon motion capture system, Rokoko motion capture system, Pupil Core eye tracker. Software: Python, C#, C++, R, Unity, OpenXR, MakeHuman, MotionBuilder, Maya. Physical Demands and
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Associate or by others in the research group, by collaborators in other groups or from publicly available datasets. The project may also involve use and development of software programs for analysis of multi
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, and Prism. Must be familiar with gel electrophoresis, RNA isolation systems, PCR machines, autoclaves, Apple computers, Windows PC’s, electrophoresis equipment, and image analysis software such as Image
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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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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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EEG HydroCel Sensor system and Net Station software and interest in the microstructure of infant sleep would be a plus. The successful candidate is expected to lead their own project, support other
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to examine dietary fiber effects on gut microbiota, identify beneficial metabolites, and explore their role in addressing the pathogenesis of metabolic diseases. In addition, the candidate will contribute
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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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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