Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
engineering discipline. Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Multi
-
: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
-
London, and with a strong team of postdoctoral researchers and PhD students Generous access to frontier AI models and high-performance compute for proof-assistant workloads Funded travel for collaboration
-
deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and
-
agents acting on shared code at ecosystem scale, and the engineering of AI-based systems. AI Safety, Security and Alignment: Ensuring that increasingly capable AI systems remain safe, reliable
-
Software Engineer to design and build the AI-agent platform for the programme. You will connect AI models, scientific tools, biological datasets, experimental-design methods, compute infrastructure, laboratory
-
: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
-
ABOUT GHENT UNIVERSITY PhD Researcher on Resource efficient robotic world models Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and
-
. The resulting AI-based agents and systems can support maritime situational awareness, security, safety and logistics. The PhD candidate will interact with other PhD candidates, researchers, companies and
-
modelling, agentic AI, uncertainty estimation), and an interest in clinically-grounded oncology research. We particularly encourage applications from individuals across all groups traditionally