Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- ;
- University of Oslo
- University of Bergen
- National University of Singapore
- University of Birmingham
- Hong Kong Polytechnic University
- Northeastern University
- UNIVERSITY OF SOUTHAMPTON
- Harvard University
- Johns Hopkins University
- Singapore Institute of Technology
- The University of Queensland
- University of Cincinnati
- Carnegie Mellon University
- George Mason University
- King Abdullah University of Science and Technology
- Monash University
- Nature Careers
- Simons Foundation
- UiT The Arctic University of Norway
- University of Bristol
- University of British Columbia
- University of Michigan
- University of Nottingham
- University of South-Eastern Norway
- Curtin University
- Genentech
- KINGS COLLEGE LONDON
- King's College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Simons Foundation/Flatiron Institute
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Maryland, Baltimore
- University of Surrey
- University of Waterloo
- ; King's College London
- ; Technical University of Denmark
- AbbVie
- Central Queensland University
- City of Hope
- Florida Atlantic University
- Institut national de la recherche scientifique (INRS)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Marquette University
- Oxford Brookes University
- RMIT UNIVERSITY
- RMIT University
- Ryerson University
- Singapore University of Technology & Design
- Swansea University
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Adelaide
- University of Agder
- University of Glasgow
- University of Ljubljana
- University of Michigan - Ann Arbor
- University of Michigan - Flint
- University of New South Wales
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of San Francisco
- University of Sheffield
- University of Stirling
- University of Texas at Austin
- 57 more »
- « less
-
Field
-
highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to predict the impact of mutations on genes in the avian flu virus and the viral host which
-
binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families
-
foundational understanding of children's agency in digital environments increasingly dominated by AI systems. The UCL team is specifically focusing on the educational technology angle, developing agency
-
The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
-
research in fundamental & applied AI that is directly relevant to policy. to develop and deliver expert-led training on AI to civil servants across government. Fellows will spend 50% of their time on each
-
) and common data formats (e.g. RVT and DWG). Preference will be given to those with experience in computer graphics, 3D geometric algorithms or WebGL development. Applicants are invited to contact Prof
-
an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
-
scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
-
Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
-
learning, and data science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood