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Statistics PhD Projects, Programs & Scholarships

We have 221 Statistics PhD Projects, Programs & Scholarships

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  Radiation Detection Doctoral Network: Statistical Techniques and Machine Learning for Radiation Detection
  Mr RB Burguete
Applications accepted all year round
The Radiation Detection Doctoral Network ‘Radnet’ is a new collaborative doctoral training programme carrying out research and training in radiation detection and applications.
  EPSRC Centre for Doctoral Training in Cloud Computing for Big Data
This new multi-million pound initiative will train the next generation of experts in the analysis of "big data" using advanced statistical methodologies and the latest cloud computing technologies, addressing an acute worldwide skills shortage.
  MRC DiMeN Doctoral Training Partnership: Developmental imaging of bacterial biofilms with advanced microscopy, image processing and machine learning
  Dr S Holden, Dr B Obara
Application Deadline: 21 January 2019
We are looking for an outstanding physical/ computational scientist to develop cutting edge microscopy and quantitative imaging tools for high resolution imaging of bacterial biofilms.
  MRC DiMeN Doctoral Training Partnership: From bench to bedside; using patient-based assays that model the gut microbiome-host interface to aid diagnosis and inform treatment of immune dysregulation
  Dr R Payne, Prof S Hambleton, Dr C Stewart
Application Deadline: 21 January 2019
Immune dysregulation and impaired gut mucosal barrier function are intimately linked features of two paediatric inflammatory gut disorders; namely graft-versus-host disease (GVHD) and necrotizing enterocolitis (NEC).
  PhD Studentship: Development of statistical methods to improve treatment monitoring in patients with chronic conditions
  Dr M Shirley
Application Deadline: 1 February 2019
Number of awards. 1. Start date and duration. Starting April (preferred) or September 2019 for 3.5 years. Overview.
  BBSRC CTP four-year studentships for October 2019
The Biotechnology and Biological Sciences Research Council (BBSRC ) have awarded a Collaborative Training Partnership (CTP) grant to a consortium led by Berry Gardens Growers Ltd and NIAB EMR.
  Complex network analysis and resilience in large-scale multi-layer networks (Advert Reference: RDF19/EE/CIS/SHANG)
  Prof Y Shang
Application Deadline: 25 January 2019
The goal of this project is to investigate and develop new data science approaches to model large-scale networks.
  Deep Learning Driven Intelligent Internet of Things (RDF19/EE/CIS/WEI)
  Prof B Wei
Application Deadline: 25 January 2019
Internet of Things (IoT) have been widely applied in many fields, such as smart homes/cities and industry monitoring, as an indispensable enabler to the realisation of Industry 4.0.
  Real Estate Futures: Understanding how disruptive trends will affect the (re)development and use of the urban built environment (Advert Reference: RDF19/EE/ABE/GREENHALGH)
  Prof P Greenhalgh
Application Deadline: 25 January 2019
Urban land and property markets are increasingly prone to dynamic and disruptive change, the drivers of which include technological, social, environmental and employment practices.
  Unifying framework for the analysis of binary data with rare events and complex data structure (Advert Reference: RDF19/EE/MPEE/OGUNDIMU)
  Dr E Ogundimu
Application Deadline: 25 January 2019
Many practical problems involve binary data, and examples of such data are ubiquitous in clinical, epidemiological and social sciences research.
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