Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
atmospheric CO₂ and co-emitted species with inventories to improve them. Develop clustering methods to compare data under similar atmospheric conditions. Analyze spatial and satellite data to assess urban
-
Scheduled Hours 40 Position Summary Performs data management and/or data analysis for investigators using statistical packages. Assists investigators in the design of experiments, clinical trial
-
these skills. Competence in data processing, statistical analysis, and the development of ML models, or a clear willingness to gain such expertise. Experience with GIS-based spatial analysis, or a clear
-
on fishery community profiling using established methodology; scholarly review and compiling datasets; statistical and spatial analysis; archival, ethnographic, and participatory research; GIS and social
-
and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
-
Fellow (Multiple Positions) Posting Number req24890 Department AZ Inst for Resilience Department Website Link https://lovejoycenter.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position
-
background and training. QUALIFICATIONS: REQUIRED: o Very strong statistical and analytical skills with a strong background in causal inference approaches (e.g. quantitative and/or qualitative counterfactual
-
main contribitoin will be in the co-developing of a toolset (aim of WP2 of the project) to simulate a circular society and the transition to it, in particular focussing on the spatial distributions
-
Research Technician (Temporary) Posting Number req24901 Department Sch of Nat Resource&Enviro-Res Department Website Link https://snre.arizona.edu/ Location Main Campus Address 1064 E Lowell Street, Tucson
-
. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data