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competing structural phases and the vibrational and electronic structure in materials with defects and disorder. This effort will further seek to implement strategies to leverage machine learning techniques
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and quantitative gene expression analysis Excellent organizational, communication, and teamwork skills Certificates/Credentials/Licenses Computer Skills General office suite and willingness to learn lab
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Position overview Position title: Postdoctoral Scholar Salary range: A reasonable salary range estimate for this position is $66,737 - $80,034 based on level experience. The posted UC academic
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PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Position Title Post-Doc Research Associate Vacancy ID PDS004749 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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Movement Sciences at Rutgers University is seeking a highly motivated Post Doctoral Associate to work on translational projects at the intersection of biomechanics, machine learning, exergaming, and mobile
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discount programs Position Status Full Time Working Hours Standard Hours 37.50 Daily Work Shift Work Arrangement This position requires a fully on-site work arrangement. Union Description Post Docs - Regular
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candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning
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and patient-reported outcomes; (b) observational research and comparative effectiveness studies; (c) intervention studies; (d) clinical informatics, mobile/electronic health; (e) machine learning
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Full Time Posting Number 26FA0157 Posting Open Date Posting Close Date 08/31/2026 Qualifications Minimum Education and Experience PhD, MD, or equivalent doctoral degree in neuroscience, biostatistics