Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
PhD Positions Country France Application Deadline 31 Jan 2026 - 23:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job funded through the EU
-
11 Dec 2025 Job Information Organisation/Company MARIA CURIE-SKLODOWSKA UNIVERSITY IN LUBLIN Department Faculty of Earth Sciences and Spatial Management Research Field Environmental science » Water
-
Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
-
-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen and immunizations. https://safety.utah.edu/safetyreport This report includes statistics
-
Computer science » Digital systems Computer science » Programming Computer science » Systems design Mathematics » Algorithms Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country Belgium
-
PhD in a relevant field (e.g. political science, statistics, computer science, informatics, economics, or related discipline) with a demonstrated focus on forecasting, statistical modelling, and/or
-
inference, bias mitigation, and statistical modelling. Expertise across diverse epidemiologic methods and content areas is welcomed. Develop a research program that incorporates rigorous epidemiologic methods
-
Statistics or Mette Olufsen or Kevin Flores from Mathematics. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or
-
, at the undergraduate, advanced and PhD levels. We regularly publish solid contributions at the best machine learning conferences. STIMA is characterized by a modern view of the statistical subject, where probabilistic
-
the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological