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University of Birmingham Computer Science & IT PhD Projects, Programs & Scholarships

We have 11 University of Birmingham Computer Science & IT PhD Projects, Programs & Scholarships

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Showing 1 to 11 of 11
  EPSRC Centre for Doctoral Training in Engineered Tissues for Discovery, Industry and Medicine (LifETIME)

Funding Type

PhD Type

The CDT will train the next generation of leaders in developing in vitro tissues, sensing and diagnostics to develop humanised in vitro systems to drive better drug screening.
  Analysis of pathogen determinants recognized by the hypervariable immune receptor Dscam
  Dr M Soller
Applications accepted all year round

Funding Type

PhD Type

Background. To mount an immune response, host organisms must first recognize the pathogen with which they are infected. The first line of defense against pathogen infection in animals is provided through the innate immune response.
  Statistical and Molecular Genetics of Complex Traits
  Prof Z Luo
Applications accepted all year round

Funding Type

PhD Type

Most characters of any living organism are polygenically controlled and environmentally modified, including those threatening human health and those important in breeding for high yield, better quality and improved adaption of animals, plants and microbes.
  Nuclear and cell shape characterisation in oral cancer/precancer
  Prof G Landini
Applications accepted all year round

Funding Type

PhD Type

Quantitative Pathology investigates problems in pathology using innovative, analytical methods to collect reliable, quantifiable and reproducible markers of disease.
  Systematisation of epithelial architecture using mathematical morphology and graph theory
  Prof G Landini
Applications accepted all year round

Funding Type

PhD Type

Quantitative Pathology investigates problems in pathology using innovative, analytical methods to collect reliable, quantifiable and reproducible markers of disease.
  Tissue/cell segmentation in histopathological imagery
  Prof G Landini
Applications accepted all year round

Funding Type

PhD Type

Quantitative Pathology investigates problems in pathology using innovative, analytical methods to collect reliable, quantifiable and reproducible markers of disease.
  Blockchains as a Distributed Ledger for Attribution of RCM Data in Rail (B4CM)
  Dr J Easton, Prof C Roberts
Applications accepted all year round

Funding Type

PhD Type

Over the past decade there has been a significant level of investment throughout Europe in the digitalisation of the rail network; with sensors installed on the infrastructure and vehicles, the deployment of next generation traffic management systems that allow real-time management of the system, and the provision of mobile applications for passengers and staff.
  A microstructure-informed model to predict the deformation and shear bands formed during a nickel superalloy machining operation
  Dr H Basoalto
Applications accepted all year round

Funding Type

PhD Type

The School of Metallurgy and Materials is seeking a high calibre candidate for a PhD studentship in materials modelling.
  Funded PhD position in variable autonomy Human-Robot systems in extreme environments
  Dr M Chiou, Prof R Stolkin
Applications accepted all year round

Funding Type

PhD Type

Robotics systems used in time- and safety-critical domains (e.g. disaster response, nuclear decommissioning) are often remotely teleoperated, with little or no autonomy used to assist the human operator.
  Digital Technologies and teacher/coach continuous professional development (CPD) in physical activity education
  Dr V Goodyear
Applications accepted all year round

Funding Type

PhD Type

Through social media, and advances to virtual and augmented reality, digital technologies have evolved into interactive spaces where people connect, collaborate, and share information with the communities they create and participate in.
  Young People, Social Media and Physical Activity Education
  Dr V Goodyear
Applications accepted all year round

Funding Type

PhD Type

Introduction, Aims and Research Questions. The idea that social media has an effect on young people’s health is compelling (Orben & Przybylski, 2019).
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