Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
data visualization. The ideal candidate will also bring hands-on experience with emerging technologies such as AR, VR, MR, and spatial/extended reality (XR), and demonstrate a passion for mentoring
-
17 Feb 2026 Job Information Organisation/Company Ghent University Research Field Computer science » Other Criminology » Other Mathematics » Applied mathematics Mathematics » Statistics Sociology
-
, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use of GIS, spatial statistics, or other spatially relevant methods
-
theme; (iv) Perform statistical analyses in SPSS; (v) Perform content analysis in NVIVO; (vi) Present the project activity in Portuguese or English at scientific meetings, conferences, congresses
-
change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health
-
TLDR: Build the data backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
-
. XV produces a very rich 4D dataset (3 spatial dimensions + time), showing lung expansion and contraction, and we are working on understanding the best methods for interpreting this data. The successful
-
. This includes bird observation data, vegetation measurements, and spatial (e.g., GPS) data. Office responsibilities will include GIS work to support ongoing projects, such as analyzing spatial data and creating
-
stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Nelson research group (https://research.fredhutch.org/peternelson/en.html at the Fred Hutch
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Bayesian statistics, AI-assisted inverse problems, planetary remote sensing, and environmental monitoring. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09787 Requirements Skills