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Statistics (self) PhD Projects, Programs & Scholarships

We have 79 Statistics (self) PhD Projects, Programs & Scholarships

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  Improving outcomes of chronically ill patients through promotion of effective self-regulation
  Prof S Orbell, Dr V Lamarche
Application Deadline: 2 March 2020

Funding Type

PhD Type

Apply to University of Essex for a place to study by Monday 20 January 2020. Apply for SeNSS studentship funding by 12.00pm on Monday 2 March 2020.
  Data analysis for digital-entrepreneurship/self-employment (Application Ref: SF19/EE/CIS/ANWAR)
  Dr MN Anwar, Dr A Ali
Applications accepted all year round

Funding Type

PhD Type

This age of big data gives a great opportunity to turn large-size datasets with high-velocity and diverse structures into real advantage in many fields, such as health, economics, education and disaster prevention.
  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.
  Precision Medicine DTP – A novel data integration method for cellular social networks within self-organising multicellular systems
  Research Group: Institute of Stem Cell Research
  Dr G Blin, Dr L Schumacher, Dr A Tsanas
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. The quantification and interrogation of how the cells organise and interact with their environment is fundamental for advancing developmental biology, cancer research, pharmaceutics and medical diagnostics.
  Bioinformatics for Personalized and Precision Neoantigen Therapeutics in Cancer
  Prof T Hupp, Dr JA Alfaro
Applications accepted all year round

Funding Type

PhD Type

Despite the success of immune checkpoint inhibitors in the clinic, most cancer patients do not respond, and even among responders therapeutic resistance is a problem.
  Integrating Interdisciplinary Big Data: A Network-Based Approach
  Research Group: Centre for Biological Diversity
  Dr V A Smith
Application Deadline: 1 December 2019

Funding Type

PhD Type

Big data across diverse fields is both a growing resource and a growing challenge.
  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.
  Machine Learning for Computational Medical Imaging
  Dr M Golbabaee, Prof P Hall
Application Deadline: 8 December 2019

Funding Type

PhD Type

The University of Bath is inviting applications for a fully funded PhD studentship based in the Department of Computer Science and under the supervision of Dr Mohammad Golbabaee (lead supervisor) https://mgolbabaee.wordpress.com/ and Prof Peter Hall (co-supervisor) https://researchportal.bath.ac.uk/en/persons/peter-hall.
  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.
  Computational algorithms to model the interplay between brain structure and function
  Dr J Escudero Rodriguez
Application Deadline: 15 January 2020

Funding Type

PhD Type

This exciting PhD project will develop computational models and analysis techniques to explore how the main connections between brain regions shape the characteristics of brain activity, and how different kinds of pathological processes damaging the connections of the network result in changes in the brain activity.
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