Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- Harvard University
- Nature Careers
- ;
- National University of Singapore
- University of British Columbia
- Zintellect
- University of Birmingham
- Indiana University
- Singapore Institute of Technology
- INESC TEC
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Michigan
- AbbVie
- Genentech
- Instituto Pedro Nunes
- The University of Alabama
- City of Hope
- Johns Hopkins University
- KINGS COLLEGE LONDON
- Monash University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Queensland
- University of Bergen
- University of Texas at Austin
- Carnegie Mellon University
- Curtin University
- Dana-Farber Cancer Institute
- King Abdullah University of Science and Technology
- Northeastern University
- Simons Foundation
- UiT The Arctic University of Norway
- University of Adelaide
- University of Cincinnati
- University of South-Eastern Norway
- Australian National University
- Colorado State University
- FCiências.ID
- Hong Kong Polytechnic University
- King's College London
- Open Society Foundations
- QUEENS UNIVERSITY BELFAST
- RCSI - Royal College of Surgeons in Ireland
- RMIT UNIVERSITY
- RMIT University
- Simons Foundation/Flatiron Institute
- Simula Research Laboratory
- Stanford University
- The University of Memphis
- UNIVERSITY OF SOUTHAMPTON
- University of Alabama, Tuscaloosa
- University of California
- University of New South Wales
- University of Nottingham
- University of Oxford
- University of South Carolina
- ; University of Oxford
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- American University
- CRANFIELD UNIVERSITY
- CSIRO
- Chippewa Valley Technical College
- Cornell University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Duke University
- Emory University
- Florida Atlantic University
- George Mason University
- Georgetown University
- Hobart and William Smith Colleges
- Humboldt-Stiftung Foundation
- Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra
- Instituto Superior Técnico
- James Madison University
- Koziarski Lab - The Hospital for Sick Children
- LINGNAN UNIVERSITY
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- Lawrence Berkeley National Laboratory
- Macquarie University
- Marquette University
- Massachusetts Institute of Technology
- Montana State University
- NORDITA-Nordic Institute for Theoretical Physics
- National Research Council Canada
- New York University
- Nottingham Trent University
- Nova School of Business and Economics
- OCAD University
- Oklahoma State University
- Purdue University
- School of Sciences
- Singapore University of Technology & Design
- Tallinn University
- Technical University of Denmark
- The University of North Carolina at Chapel Hill
- Trinity College Dublin
- UCL;
- UNIVERSITY OF ADELAIDE
- 90 more »
- « less
-
Field
-
key properties of quantum machine learning models—expressivity, generalization, and adversarial robustness, and the inter-play between them. These foundational insights will guide the design of novel
-
integration and AI models tailored for fish behaviour, health, and stress signal analysis. Investigate and apply novel machine learning and deep learning techniques for pattern recognition, classification, and
-
leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
-
: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
-
and future directions within the field of human-computer interaction with a strong overview of how machine learning and/or probabilistic modelling/active inference can be integrated in it. A3 Evidenced
-
results. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Develop machine learning-based models from data.; - Validate the developed models with real data.; - Publicize the work in international
-
++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
-
testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
-
Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 11 days ago
(denoising, Mueller matrix calculation/decomposition) and AI-based diagnostic algorithms using machine/deep learning. The primary challenge will be to deliver practitioner-relevant cervical images in under 0.5
-
are demonstrated knowledge related to acoustic modelling, measurement and soundscape. o Essential are demonstrated data analytic skills, ideally with machine learning or statistical modelling • Other general