Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of East Anglia
- Cranfield University
- University of Birmingham;
- University of Exeter
- University of Birmingham
- University of Cambridge;
- Imperial College London;
- Loughborough University
- The University of Manchester
- University of East Anglia;
- Edinburgh Napier University;
- University of Nottingham
- University of Sheffield
- KINGS COLLEGE LONDON
- Newcastle University
- The Institute of Cancer Research
- The University of Manchester;
- University of Exeter;
- University of Newcastle
- University of Nottingham;
- University of Oxford
- University of Plymouth;
- University of Sheffield;
- ;
- ; University of Exeter
- AALTO UNIVERSITY
- Coventry University Group;
- Durham University;
- Edinburgh Napier University
- Imperial College London
- King's College London;
- Loughborough University;
- Newcastle University;
- Swansea University
- Swansea University;
- The University of Edinburgh
- The University of Edinburgh;
- UCL
- Ulster University
- University of Cambridge
- University of Glasgow
- University of Greenwich;
- University of Leeds
- University of Liverpool
- University of Liverpool;
- University of Oxford;
- University of Plymouth
- 37 more »
- « less
-
Field
-
. Novel techniques, such as microscopy, fluorescence microscopy, and light-field imaging allow users to gather more useful information with higher levels of details than ever imagined. However, lots of
-
29 Sep 2025 Job Information Organisation/Company University of Birmingham Department Department of Dentistry, School of Health Science, University of Birmingham Research Field Medical sciences
-
research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
-
that require treatment while reducing unnecessary detection of slow-growing cancers. You will play a key role in a large mixed methods project as a qualitative researcher conducting focus groups, interviews and
-
to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
-
will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
-
hydrodynamics for novel marine vehicles, including large ships and small AUVs and offshore renewable energy systems including offshore wind. You are expected to perform advanced computational fluid dynamics
-
contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models, alongside complex drug screening, efficacy
-
the operational life of battery-powered devices and reducing the environmental impact of large-scale deployments. Advancements in this area support the development of sustainable technologies across various
-
Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment