Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Monash University
- Imperial College London
- ;
- Nature Careers
- Heriot Watt University
- Purdue University
- University of Washington
- Forschungszentrum Jülich
- Institut Pasteur
- King Abdullah University of Science and Technology
- Northeastern University
- Oak Ridge National Laboratory
- Rice University
- SciLifeLab
- Technical University of Munich
- University of Adelaide
- University of Bergen
- University of Glasgow
- University of London
- University of Miami
- University of Sheffield
- ; Swansea University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aarhus University
- Australian National University
- Binghamton University
- CEA
- CNRS
- Cardiff University
- Centro de Investigación en Matemáticas
- Dalhousie University
- Delft University of Technology
- Duke University
- ETH Zurich
- Eindhoven University of Technology (TU/e)
- Freenome
- French National Research Institute for Sustainable Development
- GFZ Helmholtz Centre for Geosciences
- Georgetown University
- Harbin Engineering University
- Johns Hopkins University
- KINGS COLLEGE LONDON
- King's College London
- Maastricht University (UM)
- NIST
- National Centre for Nuclear Research
- Oberlin College and Conservatory
- The Ohio State University
- University of Alabama, Tuscaloosa
- University of Bristol
- University of California, San Diego
- University of Idaho
- University of Maine
- University of Massachusetts
- University of Sydney
- University of Texas at Arlington
- University of Virginia
- Zintellect
- 48 more »
- « less
-
Field
-
Centre (NCN). The Principal Investigator is Dr. Eng. Piotr Kopka, email: Piotr.Kopka@ncbj.gov.pl Project description: The project aims to develop a new class of inverse Bayesian models called STE-EU-SCALE
-
knowledge of key AI methods such as deep learning, operator learning, and Bayesian optimization, and apply it to develop next-generation surrogate models. This position will enable you to coordinate and
-
to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
-
courses covering topics in data science, quantitative analysis, research design, and data communication; and at least one technical elective covering topics such as text data, networks, machine learning
-
projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
-
the graduate curriculum, and social sciences scholarship across the school. Examples of topic areas include (but are NOT limited to): models for inference (e.g., SEM/CFA, Bayesian modeling, linear mixed effects
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 19 days ago
to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig economies and prediction markets. Opportunity to supervise research students and work as part of a
-
in modern scientific computing -Excellent communication and collaboration skills Preferred -Experience with simulation-based inference and Bayesian methods -Familiarity with cosmological simulations
-
involved in Net Zero which is a world-leading centre in science and technology research at King’s. Net Zero aims to focus on research for decarbonising our economy and society, and addressing key
-
, large-grant project on the epidemiology of bovine tuberculosis in wild badgers, using state-of-the-art Bayesian modelling approaches to study the drivers of infectiousness and transmission of infection in