Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Southampton
- ; Newcastle University
- ; University of Exeter
- ; University of Nottingham
- UNIVERSITY OF VIENNA
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Warwick
- AALTO UNIVERSITY
- Imperial College London
- University of Cambridge
- University of Newcastle
- University of Sheffield
- ; Brunel University London
- ; Cranfield University
- ; King's College London
- ; Loughborough University
- ; St George's, University of London
- ; UCL
- ; University of Bristol
- ; University of Cambridge
- ; University of Oxford
- ; University of Plymouth
- ; University of Reading
- ; University of Stirling
- ; University of Surrey
- Abertay University
- Newcastle University
- University of Oxford
- 25 more »
- « less
-
Field
-
create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a
-
, the supervision team have obtained data access to indoor environment sensor data at national scale from a leading industrial collaborator. To pair with this big dataset, outdoor environment data at MetOffice can be
-
You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
-
sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
-
the programme code: 8080F Research area: Statistics Select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A
-
PhD Opportunity: Multi-Omic Integration for Precision Oncology; Transform cancer care through genomics, data science, and translational biology. Swansea University are pleased to offer a fully
-
This is an exciting opportunity to explore the role of complex microbial communities in promoting resilience and maximising yields in large scale algal bioreactors exposed to different environmental
-
, including: Genomic technologies – hands-on experience in long-read sequencing and variant interpretation Bioinformatics – pipeline development, visualisation, and statistical modelling PRS – applying big data
-
Fully funded positions available to start in 2025 or early 2026 Projects span plant genetics, climate-resilient breeding, AI and data science, soil health, sustainable agriculture, circular economy
-
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