Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- Portugal
- Sweden
- United Kingdom
- Spain
- Netherlands
- Singapore
- Belgium
- Norway
- Italy
- Denmark
- United Arab Emirates
- Poland
- Australia
- Romania
- Luxembourg
- Finland
- China
- Hong Kong
- Canada
- Ireland
- Japan
- Austria
- Estonia
- Worldwide
- Croatia
- Greece
- Switzerland
- Czech
- Malta
- Morocco
- Andorra
- Brazil
- Bulgaria
- Cyprus
- Lithuania
- Saudi Arabia
- Armenia
- Europe
- India
- Israel
- New Zealand
- Slovakia
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Mathematics
- Science
- Electrical Engineering
- Materials Science
- Chemistry
- Earth Sciences
- Business
- Linguistics
- Humanities
- Physics
- Psychology
- Social Sciences
- Arts and Literature
- Philosophy
- Education
- Environment
- Law
- Design
- Sports and Recreation
- 14 more »
- « less
-
, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential
-
algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful
-
the activities of GT3. The initial phases will focus on studying the ideal frameworks for creating the IT platform and developing AI algorithms for data analysis. In particular, the data storage structure will be
-
. Such methods are founded on mathematical models and algorithms from the field of mathematical optimization. The dose planning is based on medical images and a treatment protocol, and it is evaluated by using key
-
reliability through systematic validation methods. CAVECORE combines cutting-edge research in AI-enabled robotics with novel evaluation frameworks aligned with EU AI Act requirements. More information: https
-
an emphasis on technology, data science and the humanities. For more details, please view https://www.ntu.edu.sg/medicine . We are looking for a Research Fellow to conduct AI for medicine research. The role
-
: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
-
include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
-
the communication system for prototypes of the autonomous monitoring system for invasive wasp species (Asian hornet); (2) to support the programming of AI algorithms for image recognition; (3) to develop the web
-
School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to focus