Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- KINGS COLLEGE LONDON
- Monash University
- UiT The Arctic University of Norway
- University of London
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- Cornell University
- FCiências.ID
- King Abdullah University of Science and Technology
- King's College London
- London School of Hygiene & Tropical Medicine;
- Max Planck Institutes
- Montana State University
- Nanyang Technological University
- Nature Careers
- Queen's University
- The University of Queensland
- The University of Southampton
- UCL;
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SOUTHAMPTON
- University of Adelaide
- University of Bergen
- University of Birmingham
- University of Bristol
- University of Bristol;
- University of Exeter;
- University of Glasgow
- University of Leeds
- University of Leeds;
- University of Manchester
- University of Warwick;
- Zintellect
- 23 more »
- « less
-
Field
-
the mismodeling of gravitational waves, of astrophysical environments, or of noise artifacts in gravitational-wave inference, The development of Bayesian data analysis techniques to carry out parameter estimation
-
have recently demonstrated its use in a Bayesian framework for evaluating South American methane emissions. In this role, you will continue the development of GATES under two grants from the Natural
-
-2392 ). We have recently demonstrated its use in a Bayesian framework for evaluating South American methane emissions. In this role, you will continue the development of GATES under two grants from
-
differences. Then you will use diagnosed processes to build reduced-order models and constrain model parameters using historical instrumental and palaeo-proxy records via Bayesian methods. The successful
-
differences. Then you will use diagnosed processes to build reduced-order models and constrain model parameters using historical instrumental and palaeo-proxy records via Bayesian methods. The successful
-
to address more novel problems. Keywords include: automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse
-
in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
-
cognitive experiments Expertise in both frequentist and Bayesian statistics performing descriptive and multivariate statistical analysis techniques such as SEM using SPSS and/or R language. Excellent ICT
-
. Candidates with either Bayesian or traditional statistical backgrounds are encouraged to apply. Candidates should be able to programme in a high-level language for data analysis such as R, STAN or MatLab
-
project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software