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. Experience with data visualization software such as Tableau, D3.js, ggplot2 or Gephi. Experience with statistical packages such as STATA, SPSS or SAS, or experience with geospatial analysis software. Master’s
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of CCL’s geospatial databases and online analytics dashboards. Will assist in the documentation of literature reviews. Will be expected to keep accurate records, enter data, and perform basic statistical
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, Geographic Information Science (GIScience), epidemiology, geospatial analysis, and population health and lead analytic and geospatial initiatives at the New Jersey State Cancer Registry (NJSCR) designed
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Biology at Rutgers University- New Brunswick is seeking applications for a postdoctoral research position. The postdoc will be responsible for conducting interdisciplinary projects funded by the NIH
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such as R, SAS, ArcGIS, SQL, Python and AI tools. Conducts geospatial and epidemiologic analyses relevant to the catchment area to assess cancer outcomes, spatial patterns, temporal trends, and disparities
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). The candidate should have strong interests in exploring novel immune cells and the mechanisms of human health and disease. In addition, the Postdoc(s) will participate in lab meetings, research in progress
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, NJ). Performs data management and processing workflows. Maintains research image archives. Generates orthomosaics. Organizes and backs up large geospatial datasets. Operates software pipelines
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, project and program evaluation, and report writing. Data science and Geospatial Analysis skills, including coding (e.g., Python, R), inferential statistics (e.g., MATLAB, STATA), predictive modeling, GIS
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molecules to ameliorate lipid-based diseases such as obesity and lipodystrophy. The postdoc will gain research experience in the areas of biochemistry, cell biology, lipidology, and molecular genetics by
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of synaptic transmission in mammalian brain and human neurons derived from human tissue. In addition, the postdoc will perform molecular, cellular and/or electro-physiological experiments. The Postdoc will