62 image-coding-"the"-"Washington-University-in-St"-"Humboldt-Stiftung-Foundation" Fellowship positions
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Bergen
- University of Oslo
- Imperial College London
- UiT The Arctic University of Norway
- University of British Columbia
- Nanyang Technological University
- Nature Careers
- ;
- Princeton University
- University of Birmingham
- University of California
- University of Michigan
- University of New South Wales
- AbbVie
- Harvard University
- King Abdullah University of Science and Technology
- Macquarie University
- NTNU - Norwegian University of Science and Technology
- National University of Singapore
- Queen's University Belfast
- Singapore Institute of Technology
- The University of Queensland
- University of Maryland, Baltimore
- University of South-Eastern Norway
- University of Stirling
- University of Texas at Austin
- Vanderbilt University
- Zintellect
- 18 more »
- « less
-
Field
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
Support”, through analysis of MR Diffusion Weighted Imaging and MR Spectroscopy and leading other members of the wider team Specific aims of the project To prospectively evaluate non-invasive pre-surgical
-
experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
-
Organization U.S. Department of Defense (DOD) Reference Code ERDC-CHL-2025-0011 How to Apply Click on Apply now to start your application. Application Deadline 8/31/2025 3:00:00 PM Eastern Time Zone
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
-
biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
-
biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
-
, genomic, imaging and digital pathology data for colorectal and other cancers. You'll collaborate with cloud and software engineering teams and the e-health hub team to implement OMOP/OHDSI-compliant