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Data Analysis (equality) PhD Projects, Programs & Scholarships

We have 54 Data Analysis (equality) PhD Projects, Programs & Scholarships

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  Developing a holistic data analytical model for reducing workload on doctors in NHS General Practices by safely shifting significant workload to other competent professionals (Advert Reference: SF19/EE/CIS/ALI)
  Dr A Ali, Dr S Khan
Applications accepted all year round

Funding Type

PhD Type

Primary care is critical to the effectiveness and sustainability of the health system in the UK. This is recognised in the current transformation of healthcare that aims to provide care and treatment in the community rather than through hospital-centric services.
  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.
  Distributed artificial intelligence for Internet of things (Application Ref: SF19/EE/CIS/JIN)
  Dr N Jin, Dr X Dai
Applications accepted all year round

Funding Type

PhD Type

Internet of things (IoT) has been transforming many industrial sectors and our daily life, for example digital manufacturing, smart grid and digital living.
  Human-Centred Artificial Intelligence with Guided Learning (Application Ref: SF19/EE/CIS/WOO)
  Prof W L Woo, Dr B Wei
Applications accepted all year round

Funding Type

PhD Type

Applications based on artificial intelligence (AI) are increasingly informing decisions in critical areas of our society – including strategy, defence and policymaking, to name but a few.
  Improving Customer Experience for Automobile Part Retailing Process with Machine Learning Algorithms (Application Ref: SF19/EE/CIS/LI)
  Dr H Li, Dr MN Anwar
Applications accepted all year round

Funding Type

PhD Type

The project aims at developing a system with the reverse image search method for car part business processes, e.g, order fulfilling and stock management process.
  Innovation readiness of public sector procurement practices in the construction industry (Advert Reference: SF19/EE/MCE/SAMWINGA)
  Dr V Samwinga, Prof D Greenwood
Applications accepted all year round

Funding Type

PhD Type

Carillion’s collapse in January 2018, which will cost taxpayers at least £148 million and affected up to 30,000 subsidiary businesses, has intensified debate over the effectiveness of UK public procurement practices and how risk is dealt with.
  Multimodal Deep Learning for Context Awareness (Application Ref: SF19/EE/CIS/WEI)
  Dr B Wei, Prof W L Woo
Applications accepted all year round

Funding Type

PhD Type

Context-awareness plays an essential role in a smart building, including many applications such as indoor localisation, activity recognition, identity recognition, etc.
  Trust management in the Internet of things (Application Ref: SF19/EE/CIS/KHAN)
  Dr S Khan, Dr A Ali
Applications accepted all year round

Funding Type

PhD Type

Internet of things (IoT) is a contemporary technology, which links a tremendous number of devices with each other to ease life via many useful services such as information exchange, monitoring, and control.
  Zero Shot Cyber Event Detection (Application Ref: SF19/EE/CIS/YANG)
  Dr L Yang, Dr B Issac
Applications accepted all year round

Funding Type

PhD Type

Adverse cyber events, either distributed/spreading attacks or targeted one-off attacks, are happening all the time in the cyber space, leading to a tremendous loss economically and socially.
  Bacteriophage role in the establishment of preterm infants’ gut microbiota (Ref: SF20/APP/SMITH3)
  Dr D Smith
Applications accepted all year round

Funding Type

PhD Type

Survival of very preterm infants has increased over the last 20 years, but late onset sepsis (LOS) and necrotising enterocolitis (NEC) remain a major cause of death and ongoing developmental problems in this population.
  Computational Enzyme Design for the Development of Biotechnology to Create a new generation of living buildings (Ref: ET20/HLS/APP/SINGH)
  Dr W Singh
Application Deadline: 8 May 2020

Funding Type

PhD Type

This PhD project will involve the following topics. Plastic breakdown. Computational enzyme design to suggest mutants which may improve the catalytic efficiency of PETase and MHETase for polyethylene terephthalate hydrolysis.
  Development of next-generation analytical and data treatment approaches for enhancing possibilities in forensic profiling of chemical residues (Ref: SF20/APP/GALLIDABINO)
  Dr M Gallidabino
Applications accepted all year round

Funding Type

PhD Type

Chemical traces, such as gunshot or arson accelerant residues, are common evidence types that can assist in the investigation of many serious crimes.
  Estimation of food portion sizes through smartphone images (Ref: SF20/APP/BROWNLEE1)
  Dr I Brownlee
Applications accepted all year round

Funding Type

PhD Type

Accurate and precise assessment of dietary intake is crucial to consideration of population-to individual-level patterns of food consumption with clear links to consequent impacts on long-term health and national/global food requirements.
  Mechanisms underpinning competition: The science behind winning (Ref: SF20/SER/HETTINGA2)
  Prof F Hettinga
Applications accepted all year round

Funding Type

PhD Type

Sport is an ideal scenario to explore psychological as well as (neuro) physiological mechanisms underpinning competition. In middle distance and endurance sports such as athletics, rowing, cycling or speed skating, an athlete’s pacing strategy is widely recognized as an essential determinant for performance.
  Novel Bioinformatics and Artificial Intelligence approaches for microbiome analysis (Ref: ET20/HLS/APP/BASHTON)
  Dr M Bashton
Application Deadline: 8 May 2020

Funding Type

PhD Type

The microbiome, the collective genomic entity of all microbiota - bacteria, archaea, fungi, protozoa, and viruses of an environment holds an immense amount of information, a considerable amount of improvement with respect to data analysis and real-time interpretation is still needed to bring research out of the lab and into everyday usage in our home environment and health system.
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