Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of British Columbia
- Forschungszentrum Jülich
- MAYNOOTH UNIVERSITY
- Durham University
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Maynooth University
- Pennsylvania State University
- Princeton University
- University of Bath
- University of Pennsylvania
- University of Vermont Medical Center
- University of Washington
- Virginia Tech
- 3 more »
- « less
-
Field
-
, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
-
such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common
-
interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and
-
to support real-time response to Emergency Events such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning
-
Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common Operational Picture to transform real-time data streams into a suite of
-
Qualifications -Experience using MATLAB, Python, or other programming languages for operation of FUS systems -Experience developing or operating prototype instrumentation, particularly systems involving high
-
excellent organizational skills. Background check required. Position contingent on funding. Working Conditions Office, Library, Computer Room; Requires extensive safety training Physical Effort Typically
-
machine learning to support early detection and prioritisation of patients at risk of vision loss. The role involves leading PPIE activities to ensure that patient perspectives and lived experiences shape
-
, efficiency, and outcomes for some of the most critically ill individuals. About you: As a research assistant on this project you will: Support the optimisation of the BathMat prototype for scalable production
-
resources. Integration of regularly updated databases, public and private variant prioritization tools using machine-learning methods, bioinformatics predictors of intronic/UTR variant damage, gene panels