Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
implemented to address this – from family-centred interventions, to resource provision. However, impacts are often distal and diffuse, making it difficult to make evidence-based judgements on which initiatives
-
of Dr. Marios Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London
-
the European Research Council (ERC-CoG2025). Main tasks: This project aims to develop smart imaging agents based on single particle tracers to image alterations of the blood flow dynamics in cancer by positron
-
, PyTorch, JAX etc. Experience with modern AI concepts such as large language models (LLMs), vision-language models (VLMs), model context protocol (MCPs), and the development of agentic AI tools. Skill in
-
PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
are recruiting PhD students to work on this exciting topic of LLM-based agentic AI, with the goal of making AI agents reliable, efficient, and collaborative. The research results are expected to become the core
-
circular Netherlands by co-creating and designing an agent-based model of the Metropolitan Region of Amsterdam (MRA). The world is facing many ecological and political challenges, many of them rooted in
-
Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London at the South
-
Additional comments See PhD theses | SCK CEN Website for additional job details https://www.sckcen.be/en/thesis-and-internship-topics/circular-and-nature-based… Work Location(s) Number of offers
-
more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's
-
certification based on proof of validity and reproducibility. The R&D questions concern : (For P1) "AI as a service" to enrich engineering: modelling of the changing, complex and uncertain environment