Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Netherlands
- United Arab Emirates
- Sweden
- United Kingdom
- Norway
- Portugal
- Spain
- Australia
- Denmark
- Germany
- Poland
- China
- France
- Canada
- Hong Kong
- Belgium
- Austria
- Switzerland
- Finland
- Italy
- Morocco
- Singapore
- Estonia
- Ireland
- Romania
- Lithuania
- Luxembourg
- Vietnam
- Andorra
- Brazil
- India
- Japan
- Latvia
- New Zealand
- Worldwide
- 26 more »
- « less
-
Program
-
Field
-
expertise lies in machine learning, artificial intelligence, data mining, signal processing, or statistical modeling, with an interest in applying these skills to ocean science. You have strong organizing
-
) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
-
such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses computer science challenges from a
-
interdisciplinary methods (such as artificial intelligence, digital twins, AR/VR, operations research, human factors, structural health monitoring, robotics) in the research focus of Industrialized Construction
-
Artificial Intelligence, at one of the following ranks, depending on qualification and experience. LECTURER (Academic Level B) - Instructors with academic experience (with PhD) SENIOR LECTURER (Academic Level
-
, is highly valued. In addition, a demonstrated interest in and willingness to engage with digital humanities, computer vision, and artificial intelligence tools is essential. Excellent written and oral
-
, probabilistic graphical models, physics/dynamical systems. Qualifications: The candidate is expected to hold (or be about to complete) a relevant PhD degree in Computer Science, Artificial Intelligence or another
-
. PhD in computer science, cybersecurity, artificial intelligence or related field. 2. Teaching and examining experience of computer science topics at MSc and/or Undergraduate level (including
-
the applications of Machine Learning. Dr. Anthony Bellotti is Professor in the Department of Computer Science at UNNC. He received his PhD in machine learning from Royal Holloway, University of London
-
artificial intelligence and/or machine learning, digital health, wearables, etc. Contribute to Epidemiology curriculum development, teach epidemiologic methods as part of the Epidemiology PhD methods sequence