Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; University of Southampton
- ; University of Warwick
- ; Swansea University
- ; The University of Edinburgh
- Swansea University
- Cranfield University
- University of Nottingham
- University of Sheffield
- ; Newcastle University
- ; University of Birmingham
- ; University of Sheffield
- Newcastle University
- University of Cambridge
- University of Newcastle
- ; City, University of London
- ; Imperial College London
- ; Loughborough University
- ; University of East Anglia
- ; University of Exeter
- ; University of Leeds
- ; University of Nottingham
- ; University of Surrey
- ; Cranfield University
- ; Lancaster University
- ; Northeastern University London
- ; The University of Manchester
- ; University of Greenwich
- ; University of Sussex
- ; UWE, Bristol
- ; Universitat Bern
- ; University College Dublin
- ; University of Aberdeen
- ; University of Hertfordshire
- ; University of Hull
- ; University of Plymouth
- ; 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
- University College London
- University of Exeter
- University of Glasgow
- University of Oxford
- 38 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
-
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
-
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
-
to use large datasets (‘big data’) and the collection of data to be used in economic evaluations. Funding notes The three year studentship covers UK home tuition fees only and a tax-free stipend
-
analyses. Expertise will be gained in how to use large datasets (‘big data’) and the collection of data to be used in economic evaluations. Funding notes The three year studentship covers UK home tuition
-
-based Tensor Processing Units (TPUs) engine with massive on-chip global buffers for data-stationary. Systolic Array (SA) architectures with novel spatial dataflows will be utilized, at a large scale, for