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: Prof. Wei Wang), China, and her PhD from UC Berkeley, where she worked on COFs and MOFs under Prof. Omar Yaghi. She then completed postdoctoral training at Caltech in Prof. Michael R. Hoffmann's group
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investigators, laboratory scientists, students, and external collaborators. The ideal candidate will hold a PhD or equivalent experience in a relevant field and demonstrate strong expertise in bioinformatics and
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structures in in vitro systems. The structures are called DNA quadruplexes or RNA quadruplexes. The successful candidate will know how to use G-quadruplex prediction software. He/She will also need to have
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. • Overseeing graduate students with the input of collected asphalt mixture test data into various pavement softwares including AASHTOWare Pavement ME) and Discrete Element Modeling Regular, reliable, and non
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contributing to grant development. The Fellow will also assist in lab management, mentor junior team members, and support regulatory and administrative compliance. Qualifications: PhD in Biology, Microbiology
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Technology) programs, mentoring PhD, MPH, and undergraduate students from data science and public health, conducting quantitative and qualitative data collection, data analysis, manuscript preparation, and
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, perform statistics on soil test correlation and calibration datasets, and develop presentations and manuscripts for publication. This postdoctoral research scholar will work closely with the programmer to
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qualitative analyses of Medicaid data, including beneficiary demographics, provider payments, utilization trends, and policy impacts. o Use data analysis tools and software to perform complex data modeling and
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laboratory equipment. Qualifications: Minimum Qualifications The candidate should have (i) a PhD degree in food science, food engineering, or a related field, (ii) strong research experience in food
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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