Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- UNIVERSITY OF SOUTHAMPTON
- Harvard University
- Cornell University
- Montana State University
- The University of Southampton
- University of Birmingham
- Auburn University
- Cambridge, University of
- Center for Drug Evaluation and Research (CDER)
- Centro de Engenharia Biológica da Universidade do Minho
- Curtin University
- Deakin University
- Hokkaido University
- Imperial College London
- King Abdullah University of Science and Technology
- Max Planck Institutes
- Nanyang Technological University
- National University of Singapore
- Nature Careers
- Queen's University
- Swansea University
- UCL;
- University of Michigan
- University of Nottingham
- University of Otago
- University of Southampton;
- Zintellect
- 18 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
-
) incorporation of expert knowledge in model building through Bayesian prior elicitation, and 3) develop new methods for identification of conflicts in different parts of complex models. BioM is an
-
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
-
Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https
-
and genomic) data to address the most pressing health research challenges. The advanced analytics team specialise in the development and application of statistical methodology (including Bayesian
-
, New York 14850, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning
-
Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 10 hours ago
well as Bayesian borrowing can help address sample size and ethical concerns for rare diseases. Collaboration between the statistician at DB9 and the clinical team at the Division of non-malignant hematology to map
-
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
-
., feature engineering, spatiotemporal modeling, Bayesian calibration, ensemble methods) to improve prediction accuracy and uncertainty quantification. Disseminate research findings through presentations
-
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