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We have 16 Data Analysis PhD Projects, Programmes & Scholarships in London

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Data Analysis PhD Projects, Programmes & Scholarships in London

We have 16 Data Analysis PhD Projects, Programmes & Scholarships in London

New frontiers in extreme data analysis

  Research Group: Data Science, Statistics & Probability
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Novel causal models for multivariate functional data

  Research Group: Data Science, Statistics & Probability
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

PhD opportunities with the Institute for Digital Technologies at Loughborough University London

The Institute for Digital Technologies offers research expertise and experience in a wide range of subject areas. Our academics are leading research in their field and are extremely well-networked with professionals in a range of industries and sectors. Read more

UCL SECReT: The International Training Centre for Security and Crime Research Degrees

UCL's Security Science Doctoral Research Training Centre (UCL SECReT) was founded in 2009 with support from the Engineering and Physical Sciences Research Council (ESRC) and an array of public and private sector organisations working in crime reduction security and law enforcement. Read more

EPSRC Centre for Doctoral Training in the Mathematics for our Future Climate: Theory, Data and Simulation

Imperial College London, the University of Reading and the University of Southampton are thrilled to invite passionate and dedicated individuals to apply for our exciting new EPSRC CDT in the Mathematics for our Future Climate starting in October 2024. Read more

Novel interphases for ceramic composites: a high-throughput approach

The Department of Materials at Imperial College London, as part of the new CDT in Materials 4.0, is looking for a candidate to undertake a PhD project in the field of Ceramic Matrix Composites for the next generation of aero-engines and fusion reactors. Read more

Emergent Properties of Large Databases

The emergence of unusual or unexpected distributions in large data samples has resulted in some well-known laws, which includes Zipf’s Law in textual analysis [1], the Pareto distribution in the measurement of wealth [2], Benford’s Law in the distribution of first digits in real-world measurements [3], and Chargaff’s Second Parity Rule in genetics [4]. Read more

Physics-based Multi-scale Modelling of Multi-Material Additive Manufacturing

Project Details. Additive manufacturing (AM) is emerging as a promising alternative for designing multi-material parts for complex geometries in engineering applications; especially in the biomedical sector. Read more

Trusted AI for Diabetes personalised self-management systems

Diabetes mellitus is a common cause of morbidity and mortality across the globe. Type 2 diabetes continues to rise in prevalence annually; from 1980 to 2004, Type 2 quadrupled in both prevalence and incidence [1]. This will be exacerbated further by the increase in obesity. Read more

Robotic Grasping using Dynamic Active-Pixel Vision Sensor

The main aim of this project is to develop a dynamic vision-based grasping system which can detect, track and manipulate unknown objects during a complex manufacturing or biomedical engineering processes to achieve a stable and safe manipulation in real time. Read more

Intelligent, Energy Efficient and Secure Tactile Communication using Federated Learning in 6G Network

In 5G, ultra-reliable low-latency communication has been a backbone for various applications that need an extremely low delay. However, further research will be required to minimize the round trip delay and improve energy efficiency and security of user data in the 6G network [1]. Read more

Big Data Modelling the Knowledge Economy

Life would be much easier if organisations had a 3D map of the business landscape showing owners and entrepreneurs where best to go, how much they could benefit when they get there, as well as how much it would cost them along the way. Read more

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