Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- University of Nottingham
- University of Cambridge
- ;
- ; Swansea University
- University of East Anglia
- University of Sheffield
- The University of Manchester
- AALTO UNIVERSITY
- University of Manchester
- Newcastle University
- University of East Anglia;
- ; City St George’s, University of London
- ; University of Birmingham
- ; University of Exeter
- ; University of Southampton
- University of Birmingham
- University of Exeter;
- University of Newcastle
- ; The University of Edinburgh
- ; The University of Manchester
- King's College London
- UNIVERSITY OF VIENNA
- University of Birmingham;
- ; Newcastle University
- ; University of Surrey
- The University of Edinburgh
- University of Bristol
- University of Cambridge;
- University of Exeter
- University of Glasgow
- University of Oxford
- ; Brunel University London
- ; Loughborough University
- ; University of Warwick
- Harper Adams University
- Imperial College London
- KINGS COLLEGE LONDON
- Loughborough University
- The University of Manchester;
- University of Sheffield;
- University of Surrey
- University of Warwick;
- ; Aston University
- ; Coventry University Group
- ; Cranfield University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; University of Bristol
- ; University of Cambridge
- ; University of Nottingham
- ; University of Plymouth
- Abertay University
- Brunel University London
- College of Chemistry and Molecular Engineering, Peking University
- Coventry University Group;
- King's College London;
- Kingston University
- Lancaster University;
- Loughborough University;
- Manchester Metropolitan University
- NORTHUMBRIA UNIVERSITY
- Nature Careers
- Newcastle University;
- Queen Mary University of London
- Swansea University;
- The University of Edinburgh;
- UCL
- UWE, Bristol
- University of Glasgow;
- University of Greenwich
- University of Hertfordshire
- University of Leeds
- University of Liverpool
- University of London
- University of Nottingham;
- University of Oxford;
- University of Strathclyde;
- University of Sussex;
- University of Warwick
- 71 more »
- « less
-
Field
-
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 University or Research Centre where the research will be undertaken. Click here for a copy of the job description. Application Information The three documents needed for upload are a copy of your current
-
. The project offers a rare mix of theoretical development, simulation-based research, and experimental validation, supported by advanced testbeds and datasets. Students will also be encouraged to present results
-
. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
-
II during transcription and how they control biogenesis of ncRNA and contribute to gene expression regulation using state-of-the-art genomic approaches (Aim 2 and 3). The lab employs several model
-
, PhD Sharon Rossiter, PhD Application process To apply for the studentship please complete the application form via the above 'Apply' button and email it with a copy of your CV, two academic references
-
excellent understanding in power system dynamics, power electronics and control. Experience in working with power systems dynamic simulation will be helpful, but not necessary to apply for the position. How
-
. Our preliminary work has shown that such an adapter can enable a consistent dose to be extruded and spread onto simulated paediatric lesions, where one FTU now covers an area of just two fingers. We
-
be testing and optimising predictive models for use in realistic healthcare settings. This studentship will suit a student interested in working in health data science, particularly with an interest in
-
and accuracy, ultimately saving lives. This collaborative PhD project aims to develop and evaluate advanced deep learning models for speech and audio analysis to predict Category 1 emergencies