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University is recruiting postdoctoral scholars with prior training in statistics, biostatistics, computer science, bioinformatics or a closely related area. Applications are invited from ambitious, independent
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alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or equivalent degree from an epidemiology, biostatistics, data science, computer
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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) Contribute to the development of grant proposals. Required Qualifications: Qualifications: PhD in Computational Biology, Biostatistics, Computer Science, Immunology, Molecular Biology, or a related field
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, health services research, epidemiology, biostatistics, public health, or a related quantitative discipline. Strong quantitative and analytical skills with proficiency in R, Python, Stata, or SAS
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preparation and dissemination of findings at national and international conferences. Collaborate with investigators across rheumatology, pain medicine, biostatistics, informatics, and behavioral science
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. Other Pursue independent research projects related to lead contamination and/or environmental health topics (up to 10% time). Required Qualifications: Doctoral degree in epidemiology, biostatistics, data
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fields (e.g., nursing, psychology), non-clinical fields (e.g., engineering, informatics), or social sciences (e.g., health policy, biostatistics, epidemiology, economics, sociology). Research Focus Areas
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presenting technical work at scientific conferences Required Qualifications: Required qualifications PhD in engineering, neuroscience, biostatistics, bioinformatics, computer science, or a related quantitative
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resources strongly supports these efforts, including genomics, lipidomics, metabolomics, retinoid analytical cores, microscopy, animal facilities, and biostatistical support cores. Responsibilities • Design