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Mathematics PhD Projects, Programs & Scholarships in Manchester

We have 22 Mathematics PhD Projects, Programs & Scholarships in Manchester

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  AstraZeneca/Pharmacology 4 year PhD studentship

Funding Type

PhD Type

Applications are invited for 4-year PhD studentship funded by AstraZeneca and the Department of Pharmacology. The student will be working on collaborative projects co-led by departmental supervisors and AstraZeneca scientists.
  UQDE - Uncertainty quantification and design of experiments
  Dr T Waite
Application Deadline: 1 December 2019

Funding Type

PhD Type

Uncertainty quantification for complex, expensive-to-evaluate models is a topic of high importance and intensive research activity in Statistics and Applied Mathematics, with numerous applications in Engineering, Climate Science, and Defence to name a few.
  (MRC DTP) Statistical machine learning approaches cross-cohort multi-omics data
  Prof M Rattray, Dr C Yau
Application Deadline: 15 November 2019

Funding Type

PhD Type

Multimorbidity refers to the co-existence of two or more chronic conditions in an individual and its prevalence is increasing due to aging populations.
  Mathematical analysis of acoustic wave scattering in finite metamaterials.
  Dr A Kisil
Application Deadline: 25 January 2020

Funding Type

PhD Type

The project concerns analytical methods of wave scattering problems in metamaterials with edges. Research work on the project will involve new mathematical analysis of the wave propagation problems and implementation of the developed analytical methods.
  (MRC DTP) Understanding the biophysical basis of functional Magnetic Resonance Spectroscopy measurements in the human brain
  Dr L Parkes, Dr M Montemurro, Dr C Lea-Carnall
Application Deadline: 15 November 2019

Funding Type

PhD Type

Magnetic resonance spectroscopy (MRS) is a valuable tool used to study the chemical composition of the human brain.
  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.
  Exploring the influence of proteogenomics in patients receiving biologic drugs for treatment of psoriatic arthritis
  Prof A Barton, Dr James Bluett, Dr N Nair
Applications accepted all year round

Funding Type

PhD Type

Background. Psoriatic arthritis (PsA) is an inflammatory arthritis, associated with the chronic skin condition psoriasis, which causes joint inflammation.
  Modelling of cleaning and decontamination problems on porous and absorbent substrates
  Dr J Landel
Applications accepted all year round

Funding Type

PhD Type

Cleaning and decontamination processes of surfaces can rely on different mechanisms to remove an unwanted patch of substance attached to a substrate.
  Exploring the influence of treatment on CD4+ T-cell sub-populations in patients receiving biologic drugs for their inflammatory arthritis
  Prof A Barton, Dr D Plant, Dr S Viatte
Applications accepted all year round

Funding Type

PhD Type

Background. Tumour necrosis factor inhibitor (TNFi) therapy is ineffective for approximately 20% of rheumatoid arthritis (RA) patients and there is currently no way to predict which patients will not benefit.
  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.
  Contextualised Multimedia Information Retrieval via Representation Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Multimedia Information Retrieval (MIR) is an important research area in AI that aims at extracting semantic information from multimedia data sources including perceivable media such as audio, image and video, indirectly perceivable sources such as text, bio-signals as well as not perceivable sources such as bio-information, stock prices, etc.
  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

As their prominent characteristics, perceptual data often convey the mixing information, which often results in the inadequate performance for a specific perceptual information processing task due to the interference of irrelevant information components.
  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.
  Problems in large graphs (e.g., social networks, VANETs)
  Dr R Sakellariou
Applications accepted all year round

Funding Type

PhD Type

A number of interesting problems nowadays can be modelled by large graphs. For example, web links constitute a graph (google and the pagerank algorithm exploit properties of this graph), also facebook friendships, paper citation patterns and many more.
  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.
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