Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Singapore
- Australia
- Germany
- Netherlands
- France
- Spain
- Sweden
- Austria
- United Arab Emirates
- Portugal
- Denmark
- Belgium
- Norway
- Canada
- China
- Italy
- Switzerland
- Ireland
- Czech
- Poland
- Finland
- Morocco
- Romania
- Hong Kong
- Cyprus
- India
- Japan
- Luxembourg
- South Africa
- Saudi Arabia
- Taiwan
- Barbados
- Croatia
- Estonia
- Kyrgyzstan
- Latvia
- Lithuania
- Malta
- New Zealand
- Slovenia
- Vietnam
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Science
- Biology
- Education
- Mathematics
- Arts and Literature
- Humanities
- Law
- Social Sciences
- Materials Science
- Environment
- Chemistry
- Psychology
- Earth Sciences
- Linguistics
- Philosophy
- Electrical Engineering
- Design
- Sports and Recreation
- Physics
- 14 more »
- « less
-
time employment starts Practical experience in machine learning, especially deep learning and its practical application in the domain of sensor analysis Practical experience with multimodal sensor
-
interdisciplinary thinking. Opportunities to learn and collaborate through Dr. Rodriguez’s affiliation with Yale’s Wu Tsai Institute . What you’ll do: Design and build a state-of-the-art deep-tissue imaging platform
-
quantitative, research-oriented postdoctoral scientist with strong AI/data science and statistical modeling expertise. The ideal candidate will have advanced coding skills and a deep interest in translating
-
Research Framework Programme? Not funded by a EU programme Reference Number EU-59005 Is the Job related to staff position within a Research Infrastructure? No Offer Description AI and Deep Learning
-
to coordinate procedures and teaching resources Part time (0.8FTE), fixed-term (2 years) role based in Launceston About the opportunity Support quality learning and teaching to enhance the student experience and
-
III is a skilled technologist with a deep understanding of software development and systems administration processes. An ideal candidate is an individual who is either a strong developer who is
-
another related discipline, by the time employment starts Practical experience in machine learning, especially deep learning and its practical application in the domain of sensor analysis Practical
-
learning, particularly deep learning and physics-informed methods, offer transformative opportunities to redesign how data are acquired and reconstructed, and how physiological parameters are inferred from
-
Science, Computer Engineering, Electronic Engineering (or related disciplines). A strong record of research quality, commensurate with career stage in AI, including but not limited to: machine learning, deep learning
-
-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis