Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Netherlands
- Germany
- Norway
- Denmark
- Spain
- Belgium
- France
- Australia
- Austria
- China
- United Arab Emirates
- Switzerland
- Portugal
- Hong Kong
- Singapore
- Luxembourg
- Canada
- Finland
- Czech
- Poland
- Estonia
- Morocco
- Cyprus
- Greece
- Italy
- Vietnam
- Brazil
- Saudi Arabia
- Japan
- Latvia
- New Zealand
- Taiwan
- Worldwide
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Education
- Business
- Earth Sciences
- Environment
- Psychology
- Materials Science
- Chemistry
- Electrical Engineering
- Humanities
- Social Sciences
- Arts and Literature
- Linguistics
- Law
- Physics
- Sports and Recreation
- 12 more »
- « less
-
collection and employ relevant machine learning methods for data analysis and sensor fusion. The PhD Research Fellow will collaborate closely with another PhD Research Fellow at the Faculty of Health and
-
working with existing data pipelines written in SAS and other languages. These pipelines process very large datasets, and you maintain and adapt the scripts that run them. External collaborators develop
-
the robot's physical embodiment suffer from poor generalization, weak explainability, and limited transferability; (ii) sample-inefficient learning requires large volumes of annotated, domain-specific data; and
-
Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
-
Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures
-
developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
-
, both over the wireless interface and within the core network, will be driven by AI and machine-learning applications. This research will develop efficient communication strategies to support
-
-phd-positions/ . Requirements Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being
-
Description This PhD position explores how AI agents can play games to generate meaningful gameplay data. You will work on reinforcement learning, automated feature engineering, and the comparison of AI- and
-
expertise in artificial intelligence (AI), machine learning (ML), and data science. The position will be a part of the Walk Tall research team based at BC Children’s Hospital. The Postdoctoral Fellow will