Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Monash University
- University of Sheffield
- Rutgers University
- ETH Zurich
- University of North Carolina at Chapel Hill
- Imperial College London;
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Nature Careers
- University of Glasgow
- Aston University
- Binghamton University
- Brown University
- Chalmers tekniska högskola
- Cornell University
- Fermilab
- Florida State University
- Forschungszentrum Jülich
- McGill University
- NIST
- North Carolina State University
- Rice University
- SUNY University at Buffalo
- SciLifeLab
- Temple University
- The Medicines And Healthcare Products Regulatory Agency;
- The University of Chicago
- University of British Columbia
- University of Colorado
- University of Exeter;
- University of Florida
- University of Leicester
- University of Manchester
- University of Massachusetts
- University of Massachusetts Medical School
- University of Miami
- University of Michigan
- University of South Carolina
- University of Texas at Austin
- University of Utah
- University of Warsaw
- Université d'Orléans
- Univerzita Karlova (Charles University)
- 33 more »
- « less
-
Field
-
physics, Bayesian inference, and complex systems theory. You will contribute to method development, simulation and validation in close collaboration with experimental partners. Key Responsibilities: Carry
-
, integrating five innovations. First, you will establish material accountancy algorithms using Monte Carlo simulation and Bayesian inference to distinguish normal tritium losses from suspicious discrepancies
-
Computer Visualization, Natural Language Processing, and Bayesian Inference. Selected candidates will be appointed as Adjunct Assistant Professor, Adjunct Associate Professor, or Adjunct Professor, depending
-
. This robust combination drives substantial advancements in optimization, sampling, inference, and machine learning. On one side, statistical approaches such as Bayesian inference play a critical role in
-
Details Panel (longitudinal) data enables learning the dynamics and relations of (groups of) units, strengthening the inference on both cross-sectional and dynamic parameters. The dominant approach
-
Bayesian Index Tracking: optimisation by sampling School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Kostas Triantafyllopoulos, Dr Dimitrios Roxanas Application
-
Location: Ithaca, New York 14850, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific
-
experience in AI teaching We understand AI very broadly – and adequate experience would include most topics in modern statistics and topics like Bayesian Machine Learning and Simulation Based Inference (a past
-
. Compare advanced deep learning–based methods with probabilistic approaches. Collaborate with researchers at Chalmers, the University of Gothenburg, and international experts in Bayesian inference and
-
experience would include most topics in modern statistics and topics like Bayesian Machine Learning and Simulation Based Inference (a past research focus on neural network architectures is not a prerequisite