Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- KINGS COLLEGE LONDON
- Royal College of Art
- Swansea University
- University of Bath
- University of London
- ; Nanyang Technological University
- ; Technical University of Denmark
- ; University of Kent
- ; Xi'an Jiaotong - Liverpool University
- DURHAM UNIVERSITY
- Durham University
- Imperial College London
- University of Manchester
- 7 more »
- « less
-
Field
-
R or equivalent skills in another relevant language. We are not expecting you to be an expert in all forms of computer simulation, Large Language Models, or machine learning etc, but a working
-
to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
-
between the Hong Kong Polytechnic University (HKPU) and the Royal College of Art (RCA), funded by the Hong Kong SAR Government’s InnoHK programme. Drawing on the research excellence of both institutions
-
driven Postdoctoral Researcher to join the groundbreaking AI-Design Lab (AiDLab) – a major collaboration between the RCA and The Hong Kong Polytechnic University (HKPU), funded by the InnoHK programme
-
machine learning, language modelling, computer vision, or applied AI. Familiarity with large, complex datasets and prototyping tools. Experience in successful grant writing. Why Join Us? This is a unique
-
. Desirable criteria Experience working with generative models or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design
-
defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
-
on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
-
on Experimental Study and Computational Solids Mechanics model of soft multifunctional materials such as magneto-active polymers (MAPs), Electro-active polymers (EAPs). The successful candidate will work on the
-
Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible