Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Newcastle University
- ; The University of Manchester
- ; Loughborough University
- ; Swansea University
- ; University of Birmingham
- Newcastle University
- ; University of Nottingham
- ; University of Reading
- ; University of Southampton
- ; University of Warwick
- University of Birmingham
- University of Cambridge
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Manchester Metropolitan University
- ; University of East Anglia
- ; University of Surrey
- Trinity College Dublin
- ; Anglia Ruskin University
- ; Bangor University
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Bath
- ; University of Leeds
- ; University of Plymouth
- ; University of Strathclyde
- ; University of Sussex
- KINGS COLLEGE LONDON
- Loughborough University
- National Institute for Bioprocessing Research and Training (NIBRT)
- University of Oxford
- University of Sheffield
- Utrecht University
- 25 more »
- « less
-
Field
-
This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
-
studentship, commencing in October 2025 as part of the second EnerHy intake, is based at the University of Strathclyde and centres on advanced analytics for wind energy data. Research Project Overview The wind
-
often fail to preserve the fidelity of combined datasets, leading to loss of crucial information. This proposal aligns directly with the CAMS Data Analytics Theme and the Grand Challenge of using machine
-
, data analytics, and co-designed interventions. This is an exciting opportunity to contribute to applied research that informs urban policy and planning, particularly around air quality monitoring and
-
Primary supervisor - Prof Kate Kemsley Join us to research and develop advanced analytical methods for tackling food fraud head-on! Economically motivated adulteration of foods is a significant
-
digital construction technologies, including VR, IoT, machine learning, and physiological and behavioural data analytics. Experience with wearable sensors & physiological data (e.g., EEG, ECG, eye tracking
-
automatically assess solubility from arrays of micron-scale crystals deposited on a substrate. This project will give the student training in a wide range of skills applicable to modern analytical chemistry
-
existing data analytics tools will help deploy these technologies in the industry context without the need for big datasets. Predictive Maintenance (PdM) is one of the maintenance strategies that has
-
analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
-
. This transition is driven by the agri-tech sector, providing affordable and quick assessment tools that empower farmers with soil health data. This project aims to understand farmers' responses to these changes and