Sort by
Refine Your Search
-
catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical
-
developmental perspectives linking psychological factors to health. Cutting-edge quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent
-
, PCR, or qPCR. Experience analyzing biological data using command line tools, R, SAS, or similar analytical software. Familiarity with bioinformatic workflows, reproducible file organization, and version
-
what are the impacts on individuals, households, markets, the agri-food system at large, and the environment? MIXTAPE will leverage existing national datasets (including remotely sensed data) and will
-
, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
-
are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning, or evaluation
-
., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g., Python, R
-
based at Cornell and in Bangladesh Required Qualifications PhD in agricultural economics, economics or related field in hand or expected by December 2025. Experience working with primary data such as
-
quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data