Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
distinguished investigators spanning basic, translational, clinical, epidemiologic, behavioral, implementation, and public health research across four world-class institutions: Albert Einstein College of Medicine
-
spatial region and, in many applications, over time. Examples include the positions of trees in a forest, disease cases in epidemiology, crime incidents in cities, traffic events on transportation networks
-
Disease Prevention and Health Promotion in the Division of Nutrition, Physical Activity, and Obesity (DNPAO), you will engage in a training experience involving Active People, Healthy Nation (https
-
policy and society. The position focuses on developing and evaluating learning-based approaches for controlling infectious disease spread under realistic epidemiological, operational, and societal
-
), multimodal neuroimaging, and clinical data from human cohort studies. The Staff Scientist will lead integrative analyses of multi-omic and clinical datasets. A Ph.D. in neuroscience, epidemiology
-
exposure assessment and epidemiology, with an emphasis on mixed-methods approaches. Position Description The Postdoctoral Scholar will support a state-funded project developing a Climate Change and Natural
-
intelligence (AI), causal inference, clinical trials, high-dimensional data analysis, longitudinal data analysis, missing data, omics data analysis, spatial modeling, survey sampling, and survival analysis
-
Coordinator II, Department of Urology Posting Number req26372 Department Urology Department Website Link https://medicine.arizona.edu/urology Location Tucson Campus Address 1501 N. Campbell Ave., Tucson, AZ
-
science and epidemiological research to advance knowledge about prevention of infectious diseases including RSV, staphylococcal skin and soft tissue infections, and invasive pneumococcal disease; mission
-
intelligence (AI), causal inference, clinical trials, high-dimensional data analysis, longitudinal data analysis, missing data, omics data analysis, spatial modeling, survey sampling, and survival analysis