Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- UNIVERSITY OF SOUTHAMPTON
- University of Oslo
- Aalborg University
- CNRS
- Indiana University
- Montana State University
- National University of Singapore
- Nature Careers
- University of Amsterdam (UvA)
- Aalborg Universitet
- Cornell University
- Inria, the French national research institute for the digital sciences
- Institut de Físiques d'Altes Energies (IFAE)
- Johns Hopkins University
- KTH Royal Institute of Technology
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Physics, Garching
- Newcastle University;
- Queen's University
- RIKEN
- Technical University of Denmark
- The University of Southampton
- UNIVERSITY OF HELSINKI
- Universidad Politécnica de Madrid
- University of Amsterdam (UvA); Published yesterday
- University of Amsterdam (UvA); yesterday published
- University of Bristol
- University of Bristol;
- University of Leeds
- University of Leeds;
- University of London
- University of Manchester
- University of Massachusetts Medical School
- University of Michigan
- University of Minnesota
- University of Oxford
- University of Southampton;
- 28 more »
- « less
-
Field
-
, Bayesian inference and interrogation theory. The post may involve travel to Iceland and Italy in support of your work and attendance at international conferences, such as the European Geothermal Congress
-
parameter estimation Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing; additionally other methods such as simulation-based inference Good computing skills
-
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
-
the analysis of massive datasets. Extensive experience in signal processing and advanced statistical inference (e.g., Bayesian statistics, Fourier analysis) for extracting robust patterns from noisy, high
-
probability, partial differential equations, and mathematical physics. In statistics, these include biostatistics, optimal design, computer experiments, sequential analysis, shape-constrained inference, time
-
transferring learning from other geographic regions and data types, machine learning methods, Bayesian inference and interrogation theory. The post may involve travel to Iceland and Italy in support of your work
-
theories from tractable models (probabilistic circuits) and Bayesian statistics to tackle the reliability of machine learning models, touching topics such as uncertainty quantification in large-scale models
-
measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more
-
has a strong background in control engineering, with documented expertise in optimal control, adaptive control and online optimization, stochastic systems, Bayesian inference, and state estimation and