Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- ; University of Southampton
- ; Swansea University
- ; University of Warwick
- University of Sheffield
- ; The University of Edinburgh
- Cranfield University
- Swansea University
- University of Nottingham
- ; Newcastle University
- ; Loughborough University
- ; University of Sheffield
- Newcastle University
- ; University of Exeter
- ; City, University of London
- ; Cranfield University
- ; Imperial College London
- ; The University of Manchester
- ; University of Birmingham
- ; University of Leeds
- ; University of Nottingham
- ; University of Surrey
- ; Northeastern University London
- ; University of Greenwich
- ; University of Sussex
- University of Cambridge
- ; Heriot-Watt University
- ; Lancaster University
- ; Leiden University
- ; Manchester Metropolitan University
- ; Technical University of Denmark
- ; UWE, Bristol
- ; University of East Anglia
- ; University of Hull
- ; University of Oxford
- ; University of Reading
- ; University of Strathclyde
- Abertay University
- Department of Food & Nutritional Sciences, University of Reading
- Harper Adams University
- King's College London
- Leverhulme Trust
- Ulster University
- 33 more »
- « less
-
Field
-
We are excited to offer a fully funded PhD position at the intersection of big data, artificial intelligence, and urban mobility. The rapid development of big data analytics, along with advances in
-
EPSRC PhD Studentship in: Big Data, Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance Department of Civil and Structural Engineering PhD Research Project
-
available on the topic of “Inequalities in utilisation of novel systemic anti-cancer therapies”. The student will work with “big data” to examine different inequalities (e.g by age, socio-economic position
-
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
-
statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
-
and society. It will bring opportunities such as rapid computation of large, unsorted data sets, rapid training of AI models, higher capacity Lithium-ion batteries. With these profound opportunities
-
September 2024. This funding is for UK students and those with settled status. We have an exciting opportunity for a PhD student with an interest in data analytics to join our team working on the BBSRC funded
-
orbital mechanics computer programming (in a compiled language such as C, C++, Fortran, or Julia) Experience in the following is advantageous: machine learning and/or artificial intelligence big data
-
of large-scale soil and environmental data). By improving the water use efficiency of crops (particularly in dryland areas), the use of surfactants will reduce irrigation demand, whilst maintaining crop
-
to reconstruct statistically meaningful flow fields. Despite their popularity, both approaches still present major challenges such as large amounts of high-resolution data (from direct numerical simulations