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Computer Science & IT PhD Projects, Programs & Scholarships in Manchester

We have 29 Computer Science & IT PhD Projects, Programs & Scholarships in Manchester

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  Spin Waves Dynamics for Spintronic Computational Devices
  Prof T Thomson
Applications accepted all year round

Funding Type

PhD Type

Spin waves (magnons) are fundamental excitations found in magnetically ordered materials. Recently spin wave phenomena have been proposed as a new paradigm for dedicated computational tasks due to the inherently low energy of this type of excitation.
  Applying radiomics to improve outcomes in cervix cancer
  Dr A Green, Dr A McWilliam
Applications accepted all year round

Funding Type

PhD Type

Cervix cancer is a growing problem in worldwide. Thanks for continuous improvements in cancer treatments, such as radiotherapy, many women survive their disease but they can also experience side effects from their treatments.
  Energy Efficient UAVs-aided Wireless Communication Networks
  Dr K Rabie
Application Deadline: 31 August 2020

Funding Type

PhD Type

Project summary. This project will focus on the energy efficiency of Unmanned Aerial Vehicles (UAVs)-aided wireless communication networks.
  Physical Layer Security for Industrial Unmanned Aerial Vehicles (UAVs)
  Dr K Rabie
Application Deadline: 31 August 2020

Funding Type

PhD Type

Project summary. This project will focus on the security issue facing Industrial Unmanned Aerial Vehicles (UAVs)-based systems. Aims and objectives.
  Non-invasive imaging of the pathophysiology of early systemic sclerosis; fibrosis and oxygenation
  Dr A Murray, Prof G Parker, Prof A Herrick, Dr M Dickinson
Applications accepted all year round

Funding Type

PhD Type

Systemic sclerosis (SSc) is a microvascular autoimmune disease that causes lack of blood flow and scarring and thickening of skin and tissues within internal organs.
  Face identity recognition: Exploring the role of observer motion and motion of viewed person
  Dr K Lander, Dr P Warren
Applications accepted all year round

Funding Type

PhD Type

The ability to identify people around us is crucial to our everyday lives, determining the nature of our social interactions and relationships.
  Integrative statistical inference methods for eukaryotic gene regulation with applications to embryonic stem cell differentiation
  Dr I Iqbal, Prof M Rattray, Prof A Sharrocks
Applications accepted all year round

Funding Type

PhD Type

Embryonic stem cells (ESCs) can differentiate into different cell types through intermediary cell states and deeper understanding of the regulatory control underlying these differentiation stages is a very important topic in the study of mammalian development (Yang et al., 2014 & 2019).
  Development of Convolutional Neural Networks and Associated Error Estimation Techniques for Vertebral Segmentation in Axial Computed Tomography Image Slices
  Dr N Thacker, Dr P Bromiley
Applications accepted all year round

Funding Type

PhD Type

Osteoporosis is a common skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality. Vertebral fractures (VFs) are often an early manifestation of osteoporosis but are significantly under-diagnosed in clinical practice.
  Deciphering the neural code of the hippocampus
  Dr M Montemurro, Dr J Gigg
Applications accepted all year round

Funding Type

PhD Type

Background. The brain processes and stores information about our lives and the world that surrounds us. At the neural scale, information is encoded through the precise timing of activity across populations of neurons.
  Establishing the reliability and validity of digital tools to collect patient generated data
  Dr J McBeth, Prof W Dixon
Applications accepted all year round

Funding Type

PhD Type

Background. The rise in consumer electronics ownership, such as smartphones and smartwatches, offers unique opportunities to collect granular subject-reported and passively collected research data via remote monitoring.
  Combining Synthetic Biology and Modelling to Understand and Predict Evolution
  Dr M Lagator, Dr J-M Schwartz
Applications accepted all year round

Funding Type

PhD Type

Mutations, and their effects on organismal fitness, lie at the heart of understanding and predicting evolution. Because of its central role in determining evolutionary outcomes, much experimental and theoretical effort has been put into describing the fitness effects of mutations.
  Fostering development of ‘smart’, responsive therapeutics against cancer-related microRNAs.
  Dr E Bichenkova, Prof D Clarke, Dr H Aojula
Applications accepted all year round

Funding Type

PhD Type

Short functional non-coding microRNAs are implicated in many types of cancer, and thus can be used as biological targets for development of more selective and powerful anticancer therapies.
  Computer-aided Detection of Osteoporotic Vertebral Fractures in Clinical Images Using Convolutional Neural Network Constrained Local Models (CNN-CLMs)
  Dr P Bromiley, Prof T Cootes, Dr EP Kariki
Applications accepted all year round

Funding Type

PhD Type

Osteoporosis is a common, degenerative skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality.
  Characterising coordination difficulties in autism using computational techniques
  Dr E Gowen, Dr E Poliakoff, Dr A Casson
Applications accepted all year round

Funding Type

PhD Type

Autism is a life-long developmental condition that affects how a person communicates and interacts with people. ~80% of autistic individuals also have altered motor control such as less accurate eye-hand coordination and abnormal gait patterns, causing considerable problems with activities of daily living.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
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