Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Norway
- Germany
- Sweden
- Australia
- Denmark
- Singapore
- China
- United Arab Emirates
- Belgium
- Canada
- France
- Netherlands
- Portugal
- Spain
- Hong Kong
- Italy
- Luxembourg
- Poland
- Finland
- Estonia
- Saudi Arabia
- Cyprus
- Czech
- India
- Japan
- Austria
- Ireland
- Latvia
- Lithuania
- New Zealand
- Switzerland
- Andorra
- Armenia
- Bulgaria
- Croatia
- Europe
- Fiji
- Mexico
- Morocco
- Romania
- 32 more »
- « less
-
Program
-
Field
- Economics
- Computer Science
- Medical Sciences
- Engineering
- Business
- Science
- Education
- Biology
- Materials Science
- Psychology
- Mathematics
- Arts and Literature
- Social Sciences
- Law
- Humanities
- Electrical Engineering
- Sports and Recreation
- Chemistry
- Design
- Environment
- Linguistics
- Earth Sciences
- Philosophy
- Physics
- 14 more »
- « less
-
intelligence models for the analysis of multispectral remote sensing imagery. The main tasks include implementing computer vision and machine learning methods for the detection and prediction of algal blooms in
-
of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent
-
high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
-
applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
-
Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a
-
Science, Computer Science, Data Science, Neuroscience, or a related field by the start date. Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning
-
disciplines such as neuroscience/cognitive science, AI and machine learning, robotics, engineering, computer vision, and signal processing. Details of this year’s workshop are at https://sites.google.com/view
-
and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and social network analysis. Machine learning with
-
duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine