Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Newcastle University
- Cranfield University
- University of Nottingham
- ; Newcastle University
- ; The University of Manchester
- ; Swansea University
- ; University of East Anglia
- ; University of Nottingham
- ; University of Warwick
- University of Cambridge
- ; Loughborough University
- ; University of Reading
- ; University of Southampton
- University of Birmingham
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Manchester Metropolitan University
- ; University of Birmingham
- ; University of Surrey
- ; Anglia Ruskin University
- ; Bangor University
- ; Cranfield University
- ; Heriot-Watt University
- ; London South Bank University
- ; The University of Edinburgh
- ; University of Hull
- ; University of Leeds
- ; University of Plymouth
- ; University of Sussex
- KINGS COLLEGE LONDON
- Loughborough University
- Swansea University
- University of Oxford
- 23 more »
- « less
-
Field
-
4 year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function University of Nottingham, School of Medicine Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr
-
Eligibility Criteria A minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (such as mathematics or theoretical physics) is our standard entry, however we
-
the machine learning based forecasts. Furthermore, since optimisation involves data exchange between different entities in the grid, data exchange cybersecurity is an important concern. The PhD project will
-
Award summary 100% fees (UK home only), a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate), and a research training support grant of £20,000. Overview This PhD project is part
-
code: 8030F · Research Area: Chemical Engineering · Select ‘PhD Chemical Engineering’ as the programme of study. You will then need to provide the following information in the ‘Further
-
Research theme: Applied Mathematics, Continuum Mechanics, Liquid Crystals Application deadline: All year round The successful candidate will join the PhD programme of the Department of Mathematics
-
sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely identification of deterioration processes and assessment of their evolution/extent.Position 3
-
Requirements We will only consider candidates with a good Bachelor’s degree (ideally, a first, minimum 2:1) and/or a master’s degree in computer science, data analytics, health economics, or computational
-
state-of-the-art analytical facilities. You’ll also be trained in advanced techniques such as drone-based macrophyte surveys and remote autosamplers for phosphorus monitoring. This PhD combines ecology
-
-Based Modelling ✔ Data Science & Advanced Analytics with real-world SCADA data ✔ Renewable Energy Systems & Wind Turbine Engineering ✔ Industry Engagement & Research Commercialization ✔ Scientific Writing