Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- ETH Zurich
- University of Groningen
- ; University of Birmingham
- DAAD
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- University of Bergen
- Utrecht University
- Wageningen University and Research Center
- ; Bangor University
- ; Max Planck Institute for Psycholinguistics
- ; University of Aarhus
- ; University of Hull
- AIT Austrian Institute of Technology
- CNRS
- CSIRO
- CWI
- Chalmers University of Technology
- Cranfield University
- Curtin University
- Delft University of Technology (TU Delft)
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- FCiências.ID
- Ghent University
- IMT Atlantique
- KNAW
- KU Leuven
- Leiden University
- Max Planck Institute for Sustainable Materials •
- Monash University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Newcastle University
- RMIT University
- Swinburne University of Technology
- University Medical Centre Groningen (UMCG)
- University of Bremen •
- University of Twente
- University of Twente (UT)
- University of Zurich Blockchain Center
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- 35 more »
- « less
-
Field
-
, and stakeholders designing interventions to encourage positive behaviour change. Recently, agent-based-modelling (ABM), a computational approach to simulate actions and interactions of individual
-
Job related to staff position within a Research Infrastructure? No Offer Description The PhD will develop models (using AI and agent-based modeling) that identify policies for positive interactions
-
@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
-
analysis of mobility behavior, the application of agent-based models and road space analysis, particularly for road safety. Research on walking and cycling as a cross-cutting issue has a high priority in all
-
outcomes. Our research seeks to bridge this knowledge gap by using Agent-Based Modelling (ABM) to simulate and evaluate the impact of various green infrastructure design scenarios in peri-urban areas
-
that integrates climate resilience, equity, and cost-effectiveness into infrastructure management, aligning with UN SDGs 6 (clean-water) and 11 (sustainable-cities). Objectives Develop physics-based ML models
-
computational models and mechanisms that enable AI agents in Hybrid Human-AI teams to learn, adapt, and utilise shared team norms through interactions to ensure their actions are aligned and justifiable
-
that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
-
experience in the following fields. Cyber-physical modelling and simulation Digital Twins Autonomous Agents and Multi-Agent Systems Machine Learning and MLOps Probability & Statistics incl. Python/R Place of
-
and camera observations from the Newcastle Urban Observatory, public transport ridership data, questionnaires and travel surveys, and the DARe MATSim agent-based modelling suite, this PhD will seek