Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- National University of Singapore
- Zintellect
- FEUP
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- UCL;
- UNIVERSITY OF HELSINKI
- University of Nottingham
- University of Texas at Austin
- Central Michigan University
- City of Hope
- Dana-Farber Cancer Institute (DFCI)
- European Space Agency
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Institute for Basic Science
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Johns Hopkins University
- Macquarie University
- Max Planck Institutes
- Northeastern University
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- University of Aveiro
- University of Birmingham
- University of Denver
- University of Helsinki
- University of London
- University of Michigan
- University of Otago
- University of Surrey;
- University of the West of England
- Visterra, Inc.
- 22 more »
- « less
-
Field
-
will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate. Key
-
processes under different biological conditions. Apply statistical learning, deep learning and probabilistic modelling approaches to large-scale cancer datasets. Evaluate and benchmark computational methods
-
on a project in the area of power system risk modeling and assessment. Key Responsibilities: Develop a probabilistic security assessment framework for heterogeneous operational uncertainties and
-
-scale inverse problems by combining interpretable high-level probabilistic models, multi-physics data integration, and modern machine learning. The resulting methods will be validated on groundwater
-
) Familiarity with mathematical programming solvers (e.g., Gurobi, CPLEX) or probabilistic/Bayesian computing frameworks (e.g., Stan, PyMC) Ability to formulate high-impact, novel and well-defined research
-
skills. Experience in probabilistic analysis and uncertainty quantification within an engineering context, a track record of high-quality peer-reviewed research, and the ability to work independently and
-
supervision in dealing with data uncertainties. He/she will be responsible for Modelling propagation of earthquake motion from source to site Perform probabilistic seismic hazard analysis (PSHA) Perform
-
at NTU are looking for a Research Fellow (RF) to carry out research in probabilistic machine learning and GenAI, by exploring cutting-edge approaches such as sequence model design, continual learning
-
, behavioural evaluation, probabilistic modelling and ideas from cognitive science, neuroscience and theories of learning. The broader aim is to develop methods that support high-confidence claims about the goals
-
at ICLR 2024 10 papers with MLG authors will appear at ICLR 2024 in Vienna, Austria. May 7, 2024 Google Summer of Code and Turing.jl We’re happy to announce that Turing.jl, a probabilistic programming