Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; University of Plymouth
- ; University of Sussex
- ; University of Warwick
- University of Cambridge
- ; Manchester Metropolitan University
- ; Swansea University
- ; University of East Anglia
- ; University of Nottingham
- ; University of Reading
- ; University of Southampton
- University of Oxford
- ; Loughborough University
- ; University of Birmingham
- ; University of Exeter
- University of Sheffield
- ; University of Sheffield
- ; University of Surrey
- Swansea University
- ; Anglia Ruskin University
- ; Brunel University London
- ; Cranfield University
- ; Newcastle University
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; UWE, Bristol
- ; University of Bristol
- ; University of Essex
- ; University of Greenwich
- ; University of Hull
- ; University of Leeds
- ; University of Oxford
- Edge Hill University
- King's College London
- UNIVERSITY OF VIENNA
- Ulster University
- University of Exeter
- University of Wolverhampton
- 31 more »
- « less
-
Field
-
quantitative and qualitative data. This project is likely to involve undertaking a systematic review; interrogating and analysing large-scale healthcare datasets; and using qualitative methods, such as
-
languages such as Python, and experience of Artificial Intelligence and machine learning. They will also be familiar with working with real world data and analysing data based on large and diverse datasets
-
dedicated training period in Birmingham will deepen expertise in bioinformatic pipelines and big-data analysis. Ultimately, the goal is to identify strains or exopolysaccharides capable of limiting breast
-
research and / or experience of qualitative research. Expertise will be gained in how to use large datasets (‘big data’) to address clinically relevant questions and how to design and conduct a clinical
-
field, with a strong specialization in Machine Learning or Computer Vision. Hands-on experience training and deploying large CV models, including some cluster-based or multi-GPU experience. Solid
-
at the Large Hadron Collider (LHC) at CERN. It is a novel experiment searching for exotic long-lived and weakly-interacting new particles. Such particles are excellent candidates to explain the existence of Dark
-
large, heavy infrastructures are not suitable for deployment in active environments. This project will apply recent advances in spectroscopic imaging, analysis and detection, as well as collimator
-
of existing bus stops and services provided by bus operators and regional transport organisations, along with bus fare and timetable data and a range of datasets on the socio-demographic, economic and land use
-
for a broader range of potential users. This project aims to develop and refine non-invasive BMIs that integrate state-of-the-art AI-based neural signal processing techniques and large language models
-
gain skills in cancer biology, human ‘omics, “Big Data”, high performance computing, and statistical analyses. You will be part of the Cancer Genetics team at the Norwich Medical School, which is an