Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Harvard University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Indiana University
- Nanyang Technological University
- UNIVERSITY OF SOUTHAMPTON
- University of British Columbia
- University of Oslo
- National University of Singapore
- University of Southampton;
- Brunel University London;
- Dana-Farber Cancer Institute (DFCI)
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa
- Max-Planck-Institut für Bildungsforschung
- Queen's University Belfast
- The University of Southampton
- Tohoku University
- UNIVERSITY OF SURREY
- University of Aveiro
- University of Idaho
- University of Inland Norway
- University of Minho
- University of Surrey
- eQuest
- 14 more »
- « less
-
Field
-
portfolio and the wider Responsible AI landscape into clear, evidence-based policy advice for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical
-
for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical AI and its integration with real-world systems Measurement and evaluation of agentic AI
-
) pipelines, including retrieval, reranking, and generation. • Experience with agentic coding tools and frameworks. • Record of peer-reviewed publications and effective collaboration across technical and
-
available at the Department of Informatics (IFI), UiO. Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and
-
to shape national and international conversations on the responsible governance of agentic and physical AI. For further information about Responsible AI UK, please visit: https://rai.ac.uk Further
-
synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please visit: https://causalab.sph.harvard.edu
-
research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
-
in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and
-
visit: https://causalab.sph.harvard.edu/. This role is focused on pregnancy research: To evaluate the effects of treatments in pregnancy we emulate target trials using observational large healthcare
-
Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and