Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; University of Nottingham
- ; Swansea University
- University of Cambridge
- ; The University of Edinburgh
- ; University of Exeter
- Newcastle University
- The University of Manchester
- University of Sheffield
- ; City St George’s, University of London
- ; Cranfield University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Sheffield
- ; University of Southampton
- Abertay University
- University of Exeter;
- University of Warwick
- University of Warwick;
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Bristol
- ; University of Warwick
- Bangor University
- Coventry University Group;
- Durham University;
- Newcastle University;
- Oxford Brookes University
- Swansea University
- The Francis Crick Institute
- The University of Edinburgh
- The University of Edinburgh;
- University of Exeter
- University of Surrey
- University of Sussex;
- 27 more »
- « less
-
Field
-
-value reinforcements in their short and randomly aligned form. A key challenge to the effective reintegration of recycled carbon and glass fibres into high-performance products lies in achieving scalable
-
from multiple sources to estimate air quality, along with associated measures of uncertainty. Some traditional models can be relatively restrictive in nature and lack capabilities to deal with large
-
. You will build a clinical trial-ready cohort by developing an accurate, scalable sequencing and bioinformatics pipeline, alongside genetic risk stratification, positioning Newcastle as a world leader in
-
sequencing technologies - including metagenomics and transcriptomics - to explore the dynamic interplay between human gene expression and microbial communities. The successful candidate will develop and apply
-
processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
-
results from the wider project. The student will have the opportunity to shape the project to align with their interests and expertise. This PhD is part of a major international project, “Co-producing
-
[Nature Biotechnology 2023, 41 1265], as well as novel approaches for the genome sequencing of modified bases and are exploring further base modifications, and how they interact with chromatin proteins (e.g
-
natural language processing, Dr Matthew Hitchings, who will offer cutting-edge insight into high-throughput sequencing and a strong background in comparative genomics and bioinformatics and Professor Lewis
-
Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD project description: Inkjet printing allows multiple materials to be 3D-printed
-
technologies, bulk and single-cell RNA-sequencing, flow cytometry, multiplex immunofluorescence, and standard molecular biology and biochemistry techniques. A computational component may also be available