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Computer Science & IT (information studies) PhD Projects, Programs & Scholarships

We have 86 Computer Science & IT (information studies) PhD Projects, Programs & Scholarships

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  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  AI to the rescue of climate change, modelling air quality for cleaner urban planning
  Research Group: Computing, Informatics and Applications Research Group
  Dr L Babu Saheer, Dr J Zarrin
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group. https://auth-authoring-prod.anglia.ac.uk/science-and-engineering/research/institutes-and-groups/computing-informatics-and-applications.
  PhD programmes in Liberal Arts

Funding Type

PhD Type

Mary Immaculate College (MIC) offers a diverse suite of postgraduate programmes in Liberal Arts to masters and doctoral level. Be part of an innovative and creative learning environment with student supports, graduate skills training and a range of financial supports.
  Ensemble Strategies for Semi-Supervised, Unsupervised and Transfer Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Traditionally there are two main paradigms in machine learning, supervised vs. unsupervised learning.
  Granular Computing for Power Electronics Circuits Optimisation
  Dr M Abbod
Applications accepted all year round

Funding Type

PhD Type

Granular computing is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information.
  Bioinformatics studies of protein structures, functions and their interactions
  Dr L J McGuffin
Applications accepted all year round

Funding Type

PhD Type

The computational study of protein structures, functions and their interactions is fundamental to our understanding of disease.
  NEUROSCAPE - a Virtual Reality Artificial Environment for simulated neural development studies
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Co-supervisor Dr Graeme Bragg, Professor John Chad. Project description.
  Precision genetics to improve Asthma prediction, diagnosis and treatment in children
  Dr J O'Sullivan, Dr T Fadason
Applications accepted all year round

Funding Type

PhD Type

Asthma is a prevalent respiratory condition in children and adults globally, with the prevalence in NZ among the highest in the developed world.
  Type 1 Diabetes – untangling ethnic differences using a multimorbid co-localisation approach
  Dr J O'Sullivan, Dr W Schierding
Applications accepted all year round

Funding Type

PhD Type

Type 1 diabetes (T1D) is an autoimmune disease in which autoreactive T cells destroy the insulin-producing pancreatic beta cells leading to absolute insulin deficiency.
  Moral Ordering of Digital Healthcare Technologies (Advert Reference: SF19/BL/EIS/WILSON)
  Prof R Wilson
Applications accepted all year round

Funding Type

PhD Type

The implementation of digital technologies from telecare to electronic health record systems remains a significant challenge to governments around the world.
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