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Statistics (city) PhD Projects, Programs & Scholarships

We have 10 Statistics (city) PhD Projects, Programs & Scholarships

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  City-scale big data in urban mobility
  Dr H He
Application Deadline: 26 January 2020

Funding Type

PhD Type

Application details. Reference number. ABCE19/HH. Start date of studentship. 1 April 2020. Closing date of advert. 26 January 2020.
  Evidence synthesis in health impact models for interventions to prevent chronic diseases
  Dr C Jackson, Dr A Presanis, Dr D DeAngelis
Application Deadline: 7 January 2020

Funding Type

PhD Type

Many public health interventions are designed to reduce the risk of more than one disease, for example, interventions related to physical activity or diet, or general health checks.
  ONE Planet DTP - Designing Electric vehicle Commuter travel ENvironments for fuTure LifestYles (DECENTLY) (OP20309)
  Dr D Dissanayake
Application Deadline: 31 January 2020

Funding Type

PhD Type

As a means to mitigate impending climate change and air quality issues associated to transportation emissions, the UK is set a target for 60% of new cars to be electric vehicles (EVs) by 2030.
  ONE Planet DTP - Real-time data to manage urban environmental risks (OP20216)
  Dr R Dawson
Application Deadline: 31 January 2020

Funding Type

PhD Type

High concentrations of people in urban areas concentrate impacts from extreme weather, climate change and environmental risks. These include poor air quality, heatwaves amplified by the urban heat island and surface water flooding.
  Developing Robust Visual Recognition Frameworks using Synthetic Data (Application Ref: SF19/EE/CIS/HO)
  Dr E Ho, Dr H Shum
Applications accepted all year round

Funding Type

PhD Type

Deep Learning is one of the major research themes across different areas in scientific research. With the promising performance and results presented over the last few years, deep learning algorithms are dominating a lot of data-driven tasks in visual recognition.
  Statistical meta-learning approaches for smart distributed systems
  Dr X Chen
Application Deadline: 10 February 2020

Funding Type

PhD Type

Meta-learning, also known as “learning to learn”, is a machine learning technique that aims to design models that can learn from new environments rapidly with a very limited number of samples.
  Environmental data science: a new machine learning approach to study the influence of climate change on extreme weather (NOWACKPU20SCIEC)
  Dr P Nowack, Prof M Joshi
Application Deadline: 30 January 2020

Funding Type

PhD Type

Climate change is one of the most pressing societal and scientific challenges. Improving our understanding of climate change, in particular concerning its impacts on the country- or even city-scale, is therefore a global research priority.
  PhD projects for Quantitative Scientists at the MRC Human Genetics Unit

Funding Type

PhD Type

 "Are you a graduate level physicist, mathematician, statistician, engineer, computer scientist, bioinformatician or similar, seeking PhD training to made a difference in medicine and biology?" If so, we want you!.
  Modelling behaviours for future policy analysis: Integrating choice modelling and microsimulation
  Dr N Lomax, Prof S Hess, Dr D Birks
Application Deadline: 31 January 2020

Funding Type

PhD Type

Introduction. Creating simulations of future outcomes on the basis of model assumptions is essential for resource planning and policy formation across a wide range of disciplines.
  Big Data driven treatments for Pulmonary Fibrosis
  Prof Gisli Jenkins
Applications accepted all year round

Funding Type

PhD Type

We invite applications for a 3-year PhD position, funded by the University of Nottingham to study ‘Big Data driven treatments for Pulmonary Fibrosis’.
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