Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- University of Oslo
- ;
- Swedish University of Agricultural Sciences
- Arizona State University
- Aston University
- Boston University
- Chalmers University of Technology
- DURHAM UNIVERSITY
- Durham University
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- La Trobe University
- McGill University
- Monash University
- Nature Careers
- Purdue University
- SciLifeLab
- University of Adelaide
- University of Birmingham
- University of London
- University of Minnesota
- University of Oxford
- 11 more »
- « less
-
Field
-
). The position is funded by NSF-EPSRC grant 'Stochastic Shape Processes and Inference', in collaboration with the University of Nottingham, Ohio State University, and Florida State University. The successful
-
performance. The salary is commensurate with experience. Applications are invited from individuals who are interested in applying experimental psychology and Bayesian computational modeling to understanding
-
). The position is funded by NSF-EPSRC grant ‘Stochastic Shape Processes and Inference’, in collaboration with the University of Nottingham, Ohio State University, and Florida State University. The successful
-
methods for complex trait analysis, scalable Bayesian and deep learning approaches, or algorithms for inferring and analysing large-scale graph data structures. Experience in statistical and population
-
involve developing methods for complex trait analysis, scalable Bayesian and deep learning approaches, or algorithms for inferring and analysing large-scale graph data structures. Experience in statistical
-
computational modeling, geometric morphometrics, multivariate and Bayesian statistics, spatiotemporal and spatial modeling (including GIS), causal inference, machine learning, AI, and statistical software
-
Department of Ecology We are looking for a postdoc/researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoc
-
propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
-
. Requirements include research experience and an understanding of Bayesian inference, spatial statistics, network analysis, and excellent written and oral communication skills. Proficiency in R statistical
-
We are looking for a postdoctoral researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoctoral researcher