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
- University of Bergen
- University of Michigan
- AbbVie
- Johns Hopkins University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Monash University
- The University of Alabama
- Genentech
- INESC TEC
- The University of Queensland
- City of Hope
- Curtin University
- KINGS COLLEGE LONDON
- King Abdullah University of Science and Technology
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Simons Foundation
- University of Adelaide
- University of Cincinnati
- University of New South Wales
- University of Nottingham
- University of South-Eastern Norway
- University of Texas at Austin
- Australian National University
- Carnegie Mellon University
- Colorado State University
- FCiências.ID
- Hong Kong Polytechnic University
- King's College London
- Open Society Foundations
- QUEENS UNIVERSITY BELFAST
- RMIT UNIVERSITY
- RMIT University
- Simons Foundation/Flatiron Institute
- Stanford University
- The University of Memphis
- UNIVERSITY OF SOUTHAMPTON
- University of Alabama, Tuscaloosa
- University of California
- University of South Carolina
- ; University of Oxford
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- American University
- Boston College
- CRANFIELD UNIVERSITY
- CSIRO
- Chippewa Valley Technical College
- Cornell University
- Dana-Farber Cancer Institute
- 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
- Humboldt-Stiftung Foundation
- Imperial College London
- Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra
- James Madison University
- LINGNAN UNIVERSITY
- Lawrence Berkeley National Laboratory
- Macquarie University
- Marquette University
- Massachusetts Institute of Technology
- Miami University
- 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
- 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
- UNIVERSITY OF ADELAIDE
- UiT The Arctic University of Norway
- Universidade Nova de Lisboa
- Universidade de Coimbra
- University of Bristol
- University of Canterbury
- University of Galway
- University of Glasgow
- University of Inland Norway
- 90 more »
- « less
-
Field
-
plan: The work consists of developing models for the prediction of biological control agents (BCAs), using different approaches: Machine Learning (random forests, support vector machines, lasso), Deep
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
be predicted using machine learning based on drug-specific information, patient demographics, and clinical trial data. 2. Modeling for Regulatory Science – Leveraging drug development and regulatory
-
and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
-
of the correctness of software and hardware systems using machine learning. Recent advances in neural certificates—such as neural model checking and neural termination analysis—have shown promising results in
-
devices. Minimum requirements: Advanced knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous
-
technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
-
Are you an atmospheric scientist looking to apply your expertise to real-world forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction in Africa, and
-
machine learning and statistical analyses. Proficiency with Python and relevant libraries. Prior experience with genomic data modeling. Interest or experience working in neuroscience domain applications
-
Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
-
Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
breakthroughs into commercial healthcare solutions. In the ICUSafeNotes project, we are conducting research and development of multimodal machine learning models that includes ICU note summarisation and analysis