Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Monash University
- Technical University of Denmark
- ; Swansea University
- ; University of Cambridge
- Erasmus University Rotterdam
- Linköping University
- University of Bergen
- University of Cambridge
- Wageningen University and Research Center
- AIT Austrian Institute of Technology
- CWI
- Cranfield University
- DAAD
- Duke University
- Forschungszentrum Jülich
- Ghent University
- Hannover Medical School •
- KNAW
- Leiden University
- Lulea University of Technology
- Max Planck Institute for Sustainable Materials •
- Queensland University of Technology
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- Umeå University
- University of Bremen •
- University of British Columbia
- University of Oxford
- University of Southern Denmark
- University of Twente
- University of Vienna
- Western Norway University of Applied Sciences
- Østfold University College
- 23 more »
- « less
-
Field
-
to, generating synthetic social networks to describe transmission using latent space models, organizing and extending extant network data models, and building Agent Based Models of multi-state disease and behavior
-
to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses, drugs, antibodies, human lymph system, seconds, days, years). This project
-
critical computing. High-level topics include: social identity cues in the design of LLM-based chatbots or social robots trust and reliance on conversational agents designed to be charming and disarming so
-
, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
-
agents, and lies at the intersection of social ontology, collective ethics, moral responsibility and the ethics of blame and praise. The aim of the project is first to develop a novel methodology for
-
Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
-
computing. The lab will be exploring the notion of "deceptive by design" on all fronts: social identity cues in the design of LLM-based chatbots or social robots; trust and reliance on conversational agents
-
for realistic haptic control and feedback, real-time agent-based simulation for guiding optimal work task performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
-
into the regulatory network and propose novel ways to manipulate and engineer strains for use as the next biocontrol agents. This project will be done in collaboration with researchers at the Korea Advanced Institute
-
that are conducive to successful completion of the problem at hand. Particular focus will be on multi-robot and multi-agent problems (e.g., navigation, cooperative transport, team-based agent games). The ideal