Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- University of Oslo
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Bergen
- Harvard University
- INESC TEC
- Center for Devices and Radiological Health (CDRH)
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of Nottingham
- Center for Drug Evaluation and Research (CDER)
- City of Hope
- Dana-Farber Cancer Institute (DFCI)
- Hong Kong Polytechnic University
- Singapore University of Technology & Design
- Universidade do Minho
- Zintellect
- Carnegie Mellon University
- INESC ID
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Johns Hopkins University
- Monash University
- Northeastern University
- Simons Foundation;
- Tampere University
- Trinity College Dublin
- UiT The Arctic University of Norway
- Universidade de Coimbra
- University of Agder
- University of Beira Interior
- University of Birmingham
- University of California
- University of Maryland, Baltimore
- University of Michigan
- University of New South Wales
- University of South-Eastern Norway
- Brunel University London;
- CRANFIELD UNIVERSITY
- Dalhousie University
- FEUP
- Florida Atlantic University
- Georgia Southern University
- Imperial College London
- Indiana University
- Instituto de Telecomunicações
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Marquette University
- Max Planck Institute of Biochemistry, Martinsried
- NTNU Norwegian University of Science and Technology
- National Center for Toxicological Research (NCTR)
- Nottingham Trent University;
- Queen's University Belfast
- RMIT University
- Ryerson University
- Seoul National University
- Simons Foundation/Flatiron Institute
- St Jude Children's Research Hospital
- The University of Queensland
- The University of Tokyo
- Tokyo University of Science
- UCL EE
- UCL;
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- University of Algarve
- University of Colorado
- University of Exeter;
- University of Leeds
- University of Liverpool
- University of Michigan - Flint
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Otago
- University of Rochester
- University of Stavanger
- University of Sydney
- University of Texas at Austin
- University of Waterloo
- University of the West of England
- 69 more »
- « less
-
Field
-
for tumor behavior and clinical outcomes Development and implementation of artificial intelligence and machine learning algorithms for biologically and clinically motivated questions in pediatric oncology
-
to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
-
universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive
-
for real-world deployment. Key Responsibilities: Develop algorithms for DAS signal processing, wavefield analysis, feature extraction, and interpretation across infrastructure monitoring, urban geophysics
-
seeks to develop innovative computational techniques and theoretical insights that extend the frontiers of both fields. It focuses on leveraging recent breakthroughs that combine algorithmic approaches
-
We are seeking a highly motivated Research Fellow to join the project of ‘Development of an AI-based integrated system for safe management of ammonia fuel in maritime sector’ led by Prof. Yang
-
monitoring including geohazard detection such as sinkhole and subsidence. Key Responsibilities: Develop algorithms for passive seismology, seismic noise analysis, geophysical imaging, and seismic source
-
identification through lab-scale and field experiments. Key Responsibilities: Develop algorithms for guided-wave analysis, response analysis, sensor fusion, and system identification using distributed and multi
-
and data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research
-
lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target