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Post Doctoral Associate - Multi Omics
Company Information
Dr. Jinling Liu's laboratory (https://epidemiology.phhp.ufl.edu/profile/liu-jinling at the University of Florida's Department of Epidemiology is accepting applications for 1-2 fully-funded postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's research interests lie in modeling the rapidlyaccumulating big data (e.g., multi-omics) in biology and medicine for precision medicine via a variety of statistical and machine learning techniques - one of her projects along these lines has been recently funded by a prestigious NIH Career Development Award for young investigators. She is committed to advancing precision medicine and improving health equity through her work. She is also collaborating with researchers in other domains for data analytics and decision making.
Liu lab has access to rich high-dimensional multi-omics data, including WGS, WES, DNA methylation, RNA-seq, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as well as the underlying signaling network for a variety of diseases including aging, cardiovascular diseases, brain diseases, cancer, et al, through novel statistical or deep learning methods development and application. The postdoctoral associates will be exposed to rich multi-omics data, a variety of diseases, advance statistical and machine learning methods and wide collaborations with experts from different fields. Key responsibilities for the postdoctoral associates include multi-omics data analysis, novel method development and application, manuscript writing, research presentation at conferences, and assistance with grand applications.
UF Epidemiology: The Department of Epidemiology (http:/ /epidemiology.phhp.ufl.edu/
(http:/ /epidemiology.phhp.ufl.edu/)) is strategically situated within the College of Public Health and Health Professions (PHHP) and the College of Medicine. Faculty members are jointly appointed to create synergies and collective strength, resulting in a competitive research profile and highly trained students who receive exceptional exposure to diverse expertise. Our faculty and students have received numerous national awards in research and mentoring and are committed to excellence in training. The department offers an epidemiology PhD, Master of Science, and concentration in the MPH program. It is also home to two National Institutes of Health Training grants (T32). Faculty members are strongly supported by our college-level instructional design team for course development and delivery and by our research core for grant development and submission.
Additional Information: The University of Florida (www.ufl.edu (http:/ /www.ufl.edu)) is a comprehensive research-extensive university that includes a full range of academic departments and programs. The College of Public Health and Health Professions
(www.phhp.ufl.edu (http://www.phhp.ufl.edu)) is part of the University's Health Science Center. The UF Health Science Center (https://ufhealth.org/about-us (https://ufhealth.org/about-us)) is comprised of six health-related colleges located on a single, contiguous campus. They include the colleges of Dentistry, Medicine, Nursing, Pharmacy, Public Health and Health Professions, and Veterinary Medicine. The Health Science Center also partners with the immediately adjacent UF Health Shands Hospital, the Malcom Randall VA Medical Center, and the UF Health Science Center Regional campus located in Jacksonville, FL. Additional major institutes and centers located at the University of Florida include the Emerging Pathogens Institute, the Institute of Child Health Policy, the UF Health Cancer Center, the UF Genetics Institute, the Clinical and Translational Science Institute and the McKnight Brain Institute, all of which provide state-of-the-art environments and access to large data sets for faculty collaboration.
PhD degree in computer science, statistics, biostatistics, biomedical informatics or related fields OR a PhD degree in biology or related fields with strong background in programming, statistics and Al.
Preferred Qualifications: PhD degree in computer science, statistics, biostatistics, biomedical informatics or related fields OR a PhD degree in biology or related fields with strong background in programming, statistics and Al.