Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Harvard University
- Nanyang Technological University
- UiT The Arctic University of Norway
- National University of Singapore
- University of Stavanger
- Nature Careers
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Cornell University
- INESC ID
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of South-Eastern Norway
- Cranfield University
- LINGNAN UNIVERSITY
- Macquarie University
- NTNU Norwegian University of Science and Technology
- The University of Queensland
- Trinity College Dublin
- UCL;
- UNIVERSITY OF SURREY
- University of Bergen
- ADELAIDE UNIVERSITY
- AbbVie
- Amgen
- Barnard College
- CICERO Center for International Climate Research
- CRANFIELD UNIVERSITY
- CSIRO
- Carnegie Mellon University
- Central Michigan University
- Cranfield University;
- Duke University
- Flinders University
- James Cook University
- Johns Hopkins University
- King's College London
- King's College London;
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- Oxford Brookes University;
- THE UNIVERSITY OF HONG KONG
- The University of Alabama
- The University of British Columbia (UBC)
- UNIVERSITY OF SOUTHAMPTON
- Umeå universitet stipendiemodul
- University of Agder
- University of Birmingham
- University of Birmingham;
- University of California, San Francisco
- University of Cincinnati
- University of Denver
- University of Michigan
- University of Otago
- University of Texas at Austin
- University of Tübingen
- Vrije Universiteit Brussel
- Yeshiva University
- Łukasiewicz PORT
- 48 more »
- « less
-
Field
-
computational pipelines for multiplex imaging, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune
-
sociology. Strong quantitative skills and experience with large-scale data analysis required. Computer Science/HCI: PhD in Computer Science, Human-Computer Interaction, Information Science, or related
-
machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
-
methods Solid knowledge of materials mechanics Knowledge of fracture mechanics Experience with machine learning and/or data-driven methods Oral and written communication skills in Norwegian/Scandinavian
-
of causal inference and machine learning models linking transport, energy, and environmental outcomes • Conduct advanced econometric and statistical analyses of large behavioural and spatial datasets
-
to the development of causal inference and machine learning models linking transport, energy, and environmental outcomes • Conduct advanced econometric and statistical analyses of large behavioural and spatial
-
on advancing AI technologies for space systems with significant national and global impact. Visit the AU website to learn more about the School of Computer and Information Technology . Our people Our people
-
methods Solid knowledge of materials mechanics Knowledge of fracture mechanics Experience with machine learning and/or data-driven methods Oral and written communication skills in Norwegian/Scandinavian
-
: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
-
experimental and operational data, evaluating machine performance, and preparing high-quality technical reports for industrial partners. The Research Fellow will also be expected to contribute to the wider