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Statistics (processing) PhD Projects, Programs & Scholarships

We have 40 Statistics (processing) PhD Projects, Programs & Scholarships

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  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Algorithms to process brain activity over networks for clinical applications
  Dr J Escudero Rodriguez
Application Deadline: 15 January 2020

Funding Type

PhD Type

This exciting inter-disciplinary PhD project will develop mathematical and computational algorithms to analyse brain activity and brain networks with the objective to help monitor neurological conditions.
  UKRI Centre for Doctoral Training in Natural Language Processing

Funding Type

PhD Type

FOUR YEAR PHD WITH INTEGRATED TRAINING. FULLY FUNDED. SEPTEMBER 2020. Tailored doctoral training comprising both taught courses and a doctoral dissertation.
  Statistical post-processing of ensemble forecasts of compound weather risk. PhD in Mathematics (NERC GW4+ DTP)
  Dr F Kwasniok
Application Deadline: 6 January 2020

Funding Type

PhD Type

Lead Supervisor. Dr Frank Kwasniok, Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter.
  Developing a new learning algorithm for biologically inspired spiking neural networks
  Dr A Taherkhani, Prof TM McGinnity, Dr G Cosma
Applications accepted all year round

Funding Type

PhD Type

The brain’s processing ability to solve complex problems has inspired many researchers to investigate how the brain processes information, reasons and its learning mechanisms.
  Precision Medicine DTP - Large-Scale Data-Driven Lung Cancer Diagnostics using Time-Resolved Fluorescence Spectroscopy (TRFS)
  Dr S Seth, Dr KD Dhaliwal, Dr M Khadem
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Pulmonary nodules are common, often incidental, findings on chest CT scans. The investigation of pulmonary nodules is, however, time-consuming and often leads to protracted follow-up with ongoing radiological surveillance.
  Advanced Target discrimination using fingerprinting based on High Resolution Range and micro-Doppler profiles
  Dr C Clemente, Prof J Soraghan
Application Deadline: 31 December 2019

Funding Type

PhD Type

Applications are invited for a PhD studentship fully funded by the University of Strathclyde and Leonardo MW. Ground-based airborne imaging radar systems are frequently required to provide enhanced situational awareness information beyond target detection and tracking.
  Automatic Activity Analysis, Detection and Recognition
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Activity detection, analysis and recognition are related to several important areas in machine perception research and applications.
  Phenotyping placental disease in women with diabetes and chronic hypertension using transcriptomic analysis
  Dr J Myers, Dr E Johnstone
Applications accepted all year round

Funding Type

PhD Type

Placental disease triggers medically-indicated preterm birth in 1 in 6 pregnancies complicated by chronic hypertension and/or diabetes (cardiometabolic disease).
  The application of artificial intelligence to benthic species identification
  Dr K Howell, Dr P Culverhouse
Application Deadline: 7 January 2020

Funding Type

PhD Type

Marine benthic ecosystems are chronically under-sampled particularly in environments >50m. Yet a rising level of anthropogenic threats makes data collection ever more urgent.
  The dynamics of human attention in the online environment
  Dr M-A Rizoiu
Applications accepted all year round

Funding Type

PhD Type

Topic. This project will develop and evaluate stochastic models for the spread of information over complex social networks, in which the individual actions -- such as retweets, posts or shares -- are only partially observed.
  Aircraft Electrification
  Research Group: Energy Systems
  Dr J Marco, Dr A Barai
Applications accepted all year round

Funding Type

PhD Type

PROJECT OVERVIEW. This fully funded PhD studentship represents a unique opportunity to undertake advanced characterisation, control system design and modelling research in close partnership with Vertical Aerospace (http://www.vertical-aerospace.com).
  Learning from the past to predict and reduce the risk of infectious disease pandemics
  Dr F Perez-Reche, Prof N Strachan
Applications accepted all year round

Funding Type

PhD Type

The World Health Organisation reports that infectious diseases cause 63% of childhood deaths and 48% of premature deaths. There is the ongoing risk of epidemics and pandemics that can cause widespread morbidity and mortality (Spanish flu, ebola, SARS, E.
  Dynamic prediction modelling in Parkinson’s disease
  Dr D McLernon, Dr A Macleod
Applications accepted all year round

Funding Type

PhD Type

1. Background to the project. Parkinson’s disease (PD) is a progressive, disabling, neurodegenerative disorder which is common in the elderly.
  Edge Computing for Internet of Things (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

This project has two different research themes. (1) Edge Computing; (2) Data Science. (1) Edge Computing is the notion of performing computation close to the data generation source, by significantly reducing data communication latency and ensuring that private data is maintained closer to the data generation source.
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