Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Northeastern University
- Nanyang Technological University
- University of British Columbia
- University of Oslo
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- Bowdoin College
- INESC TEC
- Johns Hopkins University
- King Abdullah University of Science and Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NTNU Norwegian University of Science and Technology
- UNIVERSITY OF HELSINKI
- University of Algarve
- University of Kansas Medical Center
- Zintellect
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Carnegie Mellon University
- Dalhousie University
- Durham University
- ETH Zürich
- Florida Atlantic University
- Florida International University
- INESC ID
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- UCL;
- UNIVERSITY OF SYDNEY
- University of Helsinki
- University of Michigan - Flint
- University of New South Wales
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Science and Technology of China
- University of Texas Rio Grande Valley
- University of Texas at Austin
- University of Turku
- 28 more »
- « less
-
Field
-
pathophysiological mechanisms for acute organ injury research under POI-KB. · Authorship of high-impact first-author or co-author manuscripts in leading informatics and machine learning journals and conferences
-
or equivalent Specific Requirements Academic qualifications: -. Minimum profile: Experience in Computer Vision and machine learning. Preference factors: Experience in research projects, and writing of scientific
-
computer science. About the Group The Data Intelligence Group at UM6P-CC is a growing and supportive team with internationally recognized expertise in data management and machine learning. The group has a
-
Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering
-
supporting documentation, proven experience in all of the following areas: Computer vision and video processing (ingestion, ROI, 2D/3D keypoints, heatmaps); Deep learning and temporal modelling (CNNs
-
robots, robotic manipulators, or locomotion systems. Knowledge of machine learning, reinforcement learning, imitation learning, or computer vision techniques for robotics applications. Strong analytical
-
degree (or equivalent) in machine learning, spatial audio, audio signal processing, audio perception, audio quality assessment, or a related area in electronic engineering, computer science, applied
-
Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
-
, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
-
planning and identification of strings and modules in the field. Development of a computer vision and machine learning pipeline for the detection, localisation and classification of defects in photovoltaic