Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- The University of Chicago
- Victoria University
- Brigham Young University
- University of Florida
- Carnegie Mellon University
- Eindhoven University of Technology
- Pfizer
- Stanford University
- Technical University of Denmark
- University of California, San Diego
- University of the Arts London
- ; University of Southampton
- Aalborg University
- Argonne
- Colorado State University
- ERIM
- Fraunhofer-Gesellschaft
- Georg August University of Göttingen
- Indiana University
- King's College London
- Mammoth Biosciences
- Nanyang Technological University
- Rochester Institute of Technology
- The American Physical Society
- The Ohio State University
- University of Adelaide
- University of California San Francisco
- University of Glasgow
- University of Oklahoma
- University of Pennsylvania
- University of Saskatchewan
- University of St. Thomas
- University of Texas at Austin
- Villanova University
- Virginia Tech
- Wageningen University and Research Center
- Yale University
- 27 more »
- « less
-
Field
-
Safe Intelligence - this forms the core brand of the Fraunhofer Institute for Cognitive Systems IKS. Connected cognitive systems drive innovation in many sectors, including mobility, healthcare, and automation in industry. Disruptive technologies such as artificial intelligence and quantum...
-
validation. Job Requirements: A PhD Degree in AI/Computer Science, Aerospace Engineering, Mechanical Engineering, etc. Strong background in deep learning, machine learning, and/or image processing. Relevant
-
Are you eager to make a difference in the advancement of theoretical AI and deep learning in particular? Then this PhD position at Eindhoven University of Technology might be for you. Irène Curie
-
to analyze animal behavior or fundamental cognitive functions and their neural mechanisms. Your profile Strong background in either machine learning (especially deep learning) and computer vision or
-
dual-sector learning and research by 2028. Join us on the journey and help us achieve our strategic drives embedded in our Strategic Plan 2022-2028: Start well, finish brilliantly. One of the drivers
-
structured and unstructured data in the electronic health record (EHR), with the opportunity to work on applications of machine learning/deep learning in novel areas of healthcare. The position is open for a
-
programming, database, AI in Business and Business Analytics, Machine Learning/Deep Learning/Reinforcement Learning, Advanced topics in AI, and other technical courses) in the undergraduate and master’s
-
dual-sector learning and research by 2028. Join us on the journey and help us achieve our strategic drives embedded in our Strategic Plan 2022-2028: Start well, finish brilliantly . One of the drivers
-
cognition and technology? Are you interested in gaining expertise in AI, particularly in the field of Deep Learning? Do you have the drive to tackle real-world challenges in assistive technology (e.g
-
Project title: Machine Learning models for subgrid scales in turbulent reacting flows Supervisory Team: Temistocle Grenga, Ed Richardson Project description: Supervised deep convolutional neural