Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
-
programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
-
expertise in agent-based modelling. The models we build will have an interface with community stakeholders and mobility service providers, so we are particularly seeking applicants who are comfortable in
-
(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
-
the initial phase, the supervisors, the candidate (based on the candidate's profile), and research partners will work together to identify the comprehensive research questions to be addressed to meet the
-
– Refª C628696807-00454142 funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 13 to 26 February 2026 WHO WE
-
Socially-Aware AI agent to enhance team training by providing real-time insights and actionable feedback from multimodal data. We envision that humans and agents will work in teams, complementing each other
-
of the following activities: Activity 1: Assessment of the direct effects of the biological control agent Trichilogaster acaciaelongifoliae Assess the establishment of the biological control agent along
-
and fermented fractions; (ii) development and optimization of oleogel formulations using insect-derived oils combined with suitable structuring agents and antioxidants; (iii) evaluation of the stability
-
funding availability. What are the provisions? You will receive a stipend to be determined by MRICD. Stipends are typically based on a participant’s academic standing, discipline, experience, and research