Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Sweden
- Canada
- Germany
- Austria
- China
- France
- Poland
- United Arab Emirates
- Belgium
- Lithuania
- Netherlands
- Spain
- Andorra
- Australia
- Denmark
- Greece
- India
- Saudi Arabia
- Singapore
- South Africa
- Barbados
- Cyprus
- Estonia
- Europe
- Hong Kong
- Italy
- Japan
- Mexico
- Romania
- Switzerland
- Taiwan
- 23 more »
- « less
-
Field
-
quantitative field. Strong background and expertise in data science, bioinformatics, network science, artificial intelligence, machine learning, deep learning, or related areas. Solid understanding of AI
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
computer package will be used. Course Enrolment (Estimated): 120 Number of Positions: 1 TA Support: 50 hrs per tutorial & per semester Sessional Dates of Appointment: July 1, 2026 – Aug 31, 2026 Class
-
network security, hardware and embedded system security, cryptography, privacy-preserving and trustworthy computing, AI-driven security and adversarial machine learning, security of cyber-physical and
-
PIT and RISE WFS teams are led by Caltech) Stellar astrometry and spectroscopy with Gaia and Euclid Machine learning and astroinformatics, including work connected with jointly querying ZTF and Rubin
-
directed by Specialist and postdoctoral fellows. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number
-
learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computed tomography (CT) angiography imaging. As a Postdoctoral Scientist, you will
-
learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computed tomography (CT) angiography imaging. As a Postdoctoral Scientist, you will
-
Department of Computer Systems is internationally highly appreciated scientific and learning centre, which scientific competency is focused on creating of technical systems based on computer systems
-
that incorporate artificial intelligence and machine learning or climate change and human health are of particular interest. BWF believes that a diverse scientific workforce is essential to the process and
-
California State University, Long Beach | Long Beach, California | United States | about 22 hours ago
and trustworthy computing, AI-driven security and adversarial machine learning, security of cyber-physical and autonomous systems, and/or cloud or edge system security. Degree at time of application