Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Stavanger
- Princeton University
- University of Bergen
- NTNU Norwegian University of Science and Technology
- Northeastern University
- University of Aveiro
- University of Michigan
- University of North Carolina at Chapel Hill
- AbbVie
- Carnegie Mellon University
- Columbia University
- Cornell University
- ETH Zürich
- IPAI Foundation
- Indiana University
- Insper
- King Abdullah University of Science and Technology
- Massachusetts Institute of Technology
- McGill University
- Montana State University
- Purdue University
- The University of British Columbia (UBC)
- University of Michigan - Ann Arbor
- University of Nottingham
- University of Oslo
- University of Rhode Island
- 16 more »
- « less
-
Field
-
master degree within Computer Science, Artificial Intelligence, Data Science preferably acquired recently; or who possess corresponding qualifications that could provide a basis for successfully completing
-
Tool (SWAT model), and/or Noah Land Surface Model with Multi-Parameterization Options (Noah-MP model). Experience in either developing or applying Artificial Intelligence and Machine Learning tools and
-
model), Soil and Water Assessment Tool (SWAT model), and/or Noah Land Surface Model with Multi-Parameterization Options (Noah-MP model). Experience in either developing or applying Artificial Intelligence
-
The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
-
/index.html) and the Geospatial Snow, Water, and Ice Resources Lab (GeoSWIRL; https://arcg.is/0ObXba) at Montana State University are recruiting a Postdoctoral Fellow. The postdoc will focus on developing and
-
of biological, artificial, and collective intelligence through collaboration across a wide range of fields. We seek enthusiastic scientists and scholars who will embrace the chance to help set the agenda for our
-
health risks or co-occurring adversities; mental health; risk and resilience in response to race- or weight-based stigma and discrimination; use of artificial intelligence (AI) and technology to address
-
development. This position sits at the intersection of artificial intelligence, human genetics, and safety assessment, supporting AbbVie's commitment to leveraging genetic insights to improve clinical success
-
infrastructure, with the state-of-the-art reinforcement learning and generative AI, to detect, prevent, and preemptively mitigate intelligent attacker vectors. Supportive Mentoring: The postdoc will be guided by