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AI & Machine Learning (testing) PhD Projects, Programs & Scholarships

We have 12 AI & Machine Learning (testing) PhD Projects, Programs & Scholarships

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  GW4 BioMed MRC DTP PhD studentship: Using computational simulation and machine learning to understand bacterial phenotypes of public health importance
  Dr L A Cowley
Application Deadline: 25 November 2019

Funding Type

PhD Type

This project is one of a number that are in competition for funding from the ‘GW4 BioMed MRC Doctoral Training Partnership’ which is offering up to 18 studentships for entry in September 2020.
  Can understanding people’s mental models of cybersecurity improve security behaviour?
  Prof Adam Joinson, Dr Joanne Hinds
Application Deadline: 20 January 2020

Funding Type

PhD Type

The University of Bath is inviting applications for the following PhD project based in the School of Management under the supervision of Professor Adam Joinson (https://researchportal.bath.ac.uk/en/persons/adam-joinson) and Dr Joanne Hinds (https://researchportal.bath.ac.uk/en/persons/joanne-hinds).
  Distributed traffic control for connected and autonomous vehicles in mixed traffic environments
  Dr S Mihaita
Applications accepted all year round

Funding Type

PhD Type

In an era of rapid technological changes, connected, electric and autonomous vehicles (CAEVs) seem to be the perfect solution for dealing with challenging problems such as congestion, pollution and space optimisation in urban areas.
  Using ANN Technology to Determine Acceptable Microclimate Parameters for Heritage Preservation
  Research Group: Institute for Sustainable Building Design
  Dr F Wang
Application Deadline: 22 November 2019

Funding Type

PhD Type

Applications are invited for a 3.5-year ETP PhD studentship to conduct an experimental study using both Artificial Neural Network (ANN) modelling and mock-up testing.
  Collaborative Practice-based PhD in Creative Technology for Placemaking in the Future High Street

Funding Type

PhD Type

In partnership with Knowsley Metropolitan Borough Council (KMBC), Liverpool Screen School (LSS), Liverpool School of Art and Design (LSAD) and the Faculty of Engineering and Technology (FET) at LJMU, this Practice-based PhD will focus on looking at how creative technologies can contribute to reversing the decline of the high street.
  MRC DiMeN Doctoral Training Partnership: Investigating Cognitive Correlates of Circuit dysfunctions in Autism Spectrum Disorders
  Dr A Banerjee, Prof C Petkov
Application Deadline: 6 January 2020

Funding Type

PhD Type

Autism spectrum disorders (ASD) are a group of early postnatal developmental disabilities with executive dysfunction as a key co-morbid feature.
  Oil Drilling Process Condition Detection and Prediction based on Real-time Dynamic Electrical Resistivity Tomography
  Research Group: Applied Computing
  Dr Q Zhang
Applications accepted all year round

Funding Type

PhD Type

Oil drilling is an essential process for Petroleum engineering and it is a complex time-variant process with multi-operational points.
  Learning from minimal eukaryotic genomes; using machine learning to understand the rules of life
  Research Group: Institute of Quantitative Biology, Biochemistry and Biotechnology
  Dr G Stracquadanio
Application Deadline: 5 January 2020

Funding Type

PhD Type

The genome of every organism encodes genes and regulatory elements required for building and maintaining cells. However, it is still unknown what is the minimal set of genomic elements necessary and sufficient for cellular life.
  Precision Medicine DTP - Detection of novel prognostic macrophage-associated genes in cancer
  Dr D Oyarzun, Dr B Qian
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. The grand goal of precision medicine is to deliver the right treatment to the right person at the right time. Thanks to tremendous progress in omics technologies we can now access ever more detailed maps of the molecular make-up of patients.
  Precision Medicine DTP - Large-Scale Data-Driven Lung Cancer Diagnostics using Time-Resolved Fluorescence Spectroscopy (TRFS)
  Dr S Seth, Dr KD Dhaliwal, Dr M Khadem
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Pulmonary nodules are common, often incidental, findings on chest CT scans. The investigation of pulmonary nodules is, however, time-consuming and often leads to protracted follow-up with ongoing radiological surveillance.
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