Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- Northeastern University
- University of British Columbia
- University of Cincinnati
- Curtin University
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- University of Adelaide
- University of South-Eastern Norway
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aalborg University
- AbbVie
- Australian National University
- Carnegie Mellon University
- Central Michigan University
- George Mason University
- James Madison University
- KINGS COLLEGE LONDON
- King's College London
- La Trobe University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Renewable Energy Laboratory NREL
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Singapore Institute of Technology
- Stanford University
- The University of Alabama
- The University of Queensland
- The University of Western Australia
- UNIVERSITY OF SOUTHAMPTON
- University of Inland Norway
- University of Kansas Medical Center
- University of Michigan
- University of Sheffield
- University of Stavanger
- University of Texas at Austin
- Western Norway University of Applied Sciences
- 27 more »
- « less
-
Field
-
before application deadline. Strong programming skills and experience with AI, computer vision, image analysis and deep learning are advantages. Knowledge of hematology, cytology and pathology is a plus
-
Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
-
Computer Science, Biomedical Engineering, Pathology Informatics, or a related field, with emphasis on computer vision and machine learning (summer and fall graduates are also welcome to apply) Proficiency in
-
, Computer Science, or Machine Learning) The Master’s thesis must be included in the application It is a requirement that the successful applicant is granted admission to the university’s doctoral program in
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
processing and machine learning, as well as, online control of assistive systems. The PhD position is located in Aalborg, and the candidate will be a member of Neurorehabilitation Systems group at the Health
-
models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
-
. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
-
collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in