Sort by
Refine Your Search
-
skills required. A strong quantitative background in statistics and/or spatial analysis. Experience with large publicly available datasets To apply, please submit the following materials: CV Cover letter
-
ability to engage with both quantitative and qualitative analysis of data (e.g., household surveys, spatial data, interviews, and ecological data), including statistical methods to account for trade-offs
-
livestock). We will be developing both general methods for spatial targeting of surveillance and reactive vaccination that are agnostic to system and working with in-country partners in DRC and India (and
-
research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: Either spatial analysis using GIS or disease modeling in R and/or
-
experiments. Develop and optimize sample preparation protocols including flash freezing/ chemical fixation of samples and cryo-sectioning. Process and analyze complex spatial metabolomics datasets. Lead