Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- University of East Anglia
- University of Exeter
- Imperial College London;
- The University of Manchester
- University of Exeter;
- Loughborough University
- Newcastle University
- The University of Edinburgh;
- The University of Manchester;
- University of Birmingham;
- University of Cambridge;
- AALTO UNIVERSITY
- Bangor University
- KINGS COLLEGE LONDON
- UCL;
- University of Bristol
- University of Cambridge
- University of East Anglia;
- University of Sheffield
- University of Surrey
- University of Warwick
- ;
- Edinburgh Napier University;
- Loughborough University;
- Manchester Metropolitan University
- Oxford Brookes University
- Swansea University
- Swansea University;
- University of Birmingham
- University of Nottingham;
- University of Oxford;
- University of Sheffield;
- European Magnetism Association EMA
- King's College London
- King's College London;
- Liverpool John Moores University
- Manchester Metropolitan University;
- The University of Edinburgh
- Ulster University
- University of Bradford;
- University of Bristol;
- University of Essex
- University of Hull;
- University of Leeds
- University of Liverpool
- University of Liverpool;
- University of Newcastle
- University of Oxford
- University of Plymouth
- University of Surrey;
- University of Warwick;
- University of York;
- 44 more »
- « less
-
Field
-
with, cloud computing and virtualisation technologies Familiarity and hands-on experience with machine learning techniques desirable Desirable to have work experience (through internships or similar) in
-
Subject area: Drug Discovery, Sustainability, Laboratory Automation, Microfluidics, Machine Learning Overview: This highly interdisciplinary 4-year funded PhD studentship will contribute to cutting
-
and other asset classes Financial econometrics and machine learning. Corporate finance and accounting Corporate governance and shareholder value Corporate finance, networks and insider trading Market
-
for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
-
equipment (e.g., 3D scanning, surface inspection). Familiarity with data analysis tools (e.g., MATLAB, Python, or similar) and basic knowledge of machine learning is an advantage. Familiarity with research
-
of the workflow. While the majority of the project is computer based, there is a small lab-based component in order to generate cell samples to be able to acquire the NMR data. Once proof of concept has been
-
framework that compares and blends complementary paradigms of physics informed machine learning (such as PINNs, ODIL)—to (i) super-resolve experimental data, (ii) infer unknown parameters such as the
-
interest, narrowing the scope to natural or cultural sites, and integrating diverse remote sensing datasets. The supervisory team offers interdisciplinary expertise in geospatial analysis, machine learning
-
PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of next generation agentic AI systems. In this PhD programme, you will redefine how the world works, learns, and discovers, turning bold ideas into tools used by millions. You will then become one
-
the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical