Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Cornell University
- UNIVERSITY OF SOUTHAMPTON
- Auburn University
- Cambridge, University of
- Centro de Engenharia Biológica da Universidade do Minho
- Curtin University
- Harvard University
- Hokkaido University
- Imperial College London
- King Abdullah University of Science and Technology
- Swansea University
- UCL;
- University of Birmingham
- University of Nottingham
- Zintellect
- 6 more »
- « less
-
Field
-
., feature engineering, spatiotemporal modeling, Bayesian calibration, ensemble methods) to improve prediction accuracy and uncertainty quantification. Disseminate research findings through presentations
-
getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied
-
for learning about models from data, 2) incorporation of expert knowledge in model building through Bayesian prior elicitation, and 3) develop new methods for identification of conflicts in different parts
-
gravitational-wave astronomy. The successful candidate will join Greg Ashton’s STFC-funded programme, Advancing Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian
-
of their mental models into a machine learning model, using dynamic Bayesian networks to understand, propagate and reduce uncertainty in their assessments. The research will apply models of distributed situation
-
Singlet and Triplet Excited States, Nature 2022, 609, 502–506. ・Bayesian Molecular Optimization for Accelerating Reverse Intersystem Crossing, Chem. Sci. 2025, 16, 9303–9310. (Scope of change) No change
-
@astro.uio.no ) and Prof. Hans Kristian Eriksen (h.k.k.eriksen@astro.uio.no ). The main goal of this position is to implement a novel Bayesian re-analysis pipeline for Planck HFI in the Commander pipeline, and
-
radio interferometry data, particularly very long baseline interferometry. Experience with or skills relevant to statistical modelling and Bayesian inference. Demonstrated familiarity with the fields of X
-
for boosting green and digital innovations”, Project ID 101186592, https://cordis.europa.eu/project/id/101186592 , running between February 2025 and January 2030 and funded by European Research Executive Agency
-
), National Animal Disease Center, Virus and Prion Research Unit, located in Ames, Iowa. For an introduction to the Flu crew at the National Animal Disease Center, please see: https://youtu.be/kOJy8tFTuiI About