Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
in bioinformatics of spatial transcriptomics, scRNA seq Proficiency in statistical methods for data analysis, including a strong understanding of statistical principles Solid foundation in Biological
-
Entitlement: 33 days annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
-
for coastal ecosystems. You will perform statistical analyses of time series and spatial data on ecosystems and human activities and participate in more holistic analyses of socio-ecosystems. You will also
-
Environmental science » Earth science Mathematics » Statistics Researcher Profile Established Researcher (R3) Country Netherlands Application Deadline 31 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job
-
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
-
Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational 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
-
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