Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- National University of Singapore
- Nanyang Technological University
- The University of Queensland
- University of Michigan
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Zintellect
- King's College London
- Singapore University of Technology & Design
- University of North Carolina at Charlotte
- Harvard University
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- University of California
- University of Oslo
- ;
- Aarhus University
- CRANFIELD UNIVERSITY
- City of Hope
- Cranfield University
- DAAD
- Ellison Institute of Technology
- European Space Agency
- Hong Kong Polytechnic University
- Indiana University
- Johns Hopkins University
- Laboratório de Paisagens, Património e Território - Lab2PT
- Macquarie University
- Middlesex University
- Middlesex University;
- Northeastern University
- Nottingham Trent University
- Nottingham Trent University;
- Oden Institute for Computational Engineering and Sciences
- Politecnico di Torino
- QUEENS UNIVERSITY BELFAST
- Royal College of Art
- The University of Texas MD Anderson Cancer Center
- Trinity College Dublin
- UNIVERSITY OF SURREY
- University of Exeter;
- University of London
- University of Nottingham
- University of Surrey
- 33 more »
- « less
-
Field
-
. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
-
/readout architectures. Key Responsibilities: As an integral part of the project, the Research Fellow is expected to conduct research in integrated polaritonic devices and waveguides, including the design
-
, skin cancer or medical imaging research, including the analysis and management of 2D and 3D imaging datasets. Strong technical knowledge across the data lifecycle, including research data architecture
-
with colleagues developing simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability
-
management, architecture, the built environment, engineering, or a related field, is required. Applications from candidates with a Master's degree and substantial relevant industry experience are also welcomed.
-
architectures. The role will involve advanced optical spectroscopy and characterization techniques, including real-space and Fourier-space imaging, polarization- and time-resolved measurements, room-temperature
-
reasoning in Large Language Models (LLMs). • Developing, evaluating, and refining Retrieval-Augmented Generation (RAG) architectures that ground LLM outputs in DfS domain knowledge and project data
-
methods and deep learning to enable scientific reasoning. Develop software prototypes for automated research workflows that integrate autonomous discovery pipelines with modern deep learning architectures
-
) - spanning open-source models, LLM architecture, prompt design, and agentic AI frameworks - to help evaluate and advance responsible AI integration across the Agency. Project 3: Pilot and Proof-of-Concept
-
simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability required to analyse and improve