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) diabetes and obesity. The field of research this position is engaged in is Biostatistics and data analysis. This research applies translational data science to bridge complex biostatistics and bioinformatics
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University of California, San Francisco | San Francisco, California | United States | about 12 hours ago
performing remote and in-person site visits. They will also assist with grant and manuscript writing, and data management/analysis such as designing data collection forms, data cleaning, and participating in
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, simulation modelling, and data analysis, ideally with experience in agricultural systems or complex biological/ecological modelling. The candidate will work closely with a multidisciplinary team of academics
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. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance, reliability, and availability of complex industrial systems while making maintenance strategies
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Job Description Job Alerts Link Apply now Job Title: Research Assistant (Biological Sciences) Posting Start Date: 19/01/2026 Job Description: Job Description Our research group (https
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 4 yrs Required License/Registration/Certification None. Physical Requirements Ability to sit for long periods
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University of California, San Francisco | San Francisco, California | United States | about 12 hours ago
, and program management. Works on moderate to highly complex issues. Receives assistance on more complex student/faculty issues. The BMS / DSCB Curriculum Coordinator is also involved in a range of
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complex projects of large size and scope that have critical impact throughout the medical center and / or systemwide. Supervising and mentoring the APeX reporting team, this position supports operational
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on timelines, resources, and risk considerations. Lead complex HR compliance and operational improvement projects, coordinating cross-unit collaboration and resolving escalated workflow issues. Design and
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predicting pollutant dispersion in complex environments like industrial sites remains difficult due to fluctuating wind conditions and obstacles. This PhD project offers a unique opportunity to develop