Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Bergen
- Nanyang Technological University
- Harvard University
- University of British Columbia
- University of Oslo
- George Mason University
- Johns Hopkins University
- Singapore Institute of Technology
- University of Texas at Austin
- AbbVie
- Carnegie Mellon University
- Florida Atlantic University
- Genentech
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Marquette University
- Northeastern University
- UNIVERSITY OF SOUTHAMPTON
- University of Maryland, Baltimore
- University of Michigan
- University of South-Eastern Norway
- University of Waterloo
- 12 more »
- « less
-
Field
-
cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy
-
problem-solving skills, with a focus on developing innovative solutions for multi-modal LLMs. Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment
-
Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
-
designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
-
research initiatives that analyze the impact of AI technologies on social systems and design innovative methods for adapting economic and social governance to AI development. A special focus will be
-
project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas, the project seeks to develop innovative
-
(CPS) for aquaculture, to sensors and platforms for maritime applications. The Postdoc’s primary task will be to lead the development of algorithm, software, and hardware to extend the current HAUCS
-
creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern
-
Baltimore, MD, or Washington, DC , to investigate the foundations of human normativity and how these insights can inform the development of AI systems aligned with human values. The ideal candidate will have
-
technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By