Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Job Title County Extension Agent - 4H and Youth Development (Harris County) Agency Texas A&M Agrilife Extension Service Department County Program Urban - Harris Proposed Minimum Salary Commensurate
-
optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
-
correlation with exposure to atmospheric agents and environmental parameters during use. The experimental research involves field tests on the functionality, with particular attention to the physical
-
, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming
-
Job Title County Extension Agent - AG/Natural Resources (Martin County) Agency Texas A&M Agrilife Extension Service Department County Program D06 Proposed Minimum Salary Commensurate Job Location
-
3 Mar 2026 Job Information Organisation/Company CNRS Department FrenCh austRalian labOratory for humanS/autonomouS agents teamING Research Field Engineering Computer science Mathematics Researcher
-
hydrogen leaks, whether chronic or accidental, could act as a brake on our capacity to fully deploy the hydrogen-based technologies on short terms, especially as conventional mitigation measures such as
-
FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce
-
University of Potsdam, Digital Engineering Faculty | Potsdam, Brandenburg | Germany | 27 minutes ago
the context of agentic software engineering LLM testing and LLM-based testing Automated test generation and software testing Testing of AI-based systems Automated program repair and synthesis Metamorphic
-
://cavecore.eu/ Your Research Project (DC4) You will work at the intersection of machine learning, control theory, and autonomous multi-agent systems to develop hybrid learning-based control strategies