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Bioinformatics (information studies) PhD Projects, Programs & Scholarships

We have 60 Bioinformatics (information studies) PhD Projects, Programs & Scholarships

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  Improving the power of genetic studies for complex diseases with deep learning
  Dr S Paracchini
Application Deadline: 17 April 2020

Funding Type

PhD Type

This project is one of 16 four year PhD Studentships funded by Medical Research Scotland (https://www.medicalresearchscotland.org.uk) to be delivered jointly by the named University and External Partner Organisation (EPO).
  Bayesian statistical approaches to identification of shared genetic signals
  Dr H Guo, Prof C Berzuini
Applications accepted all year round

Funding Type

PhD Type

Project description. A number of genes have been found associated with health conditions of interest (e.g. autoimmune disease) from multiple studies.
  Understanding how the NuRD complex regulates 3D genome organization using a combination of single-molecule super-resolution imaging and single cell biology
  Prof E D Laue
Applications accepted all year round

Funding Type

PhD Type

The spatial organisation of the genome is known to play an important role in regulating RNA transcription to effect cell-type-specific gene expression programs, and to control the differentiation of embryonic stem (ES) cells.
  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.
  Evaluation of the validity and utility of emerging technologies to track health, diet and lifestyle (Ref: SF20/APP/BROWNLEE2)
  Dr I Brownlee
Applications accepted all year round

Funding Type

PhD Type

Mobile technologies and wearable devices provide novel approaches to collect data that could form the basis of management of diet and lifestyle in reducing long-term risk of disease.
  Development of image analysis methods and software to study musculoskeletal diseases using artificial intelligence (AI)
  Dr Claudia Lindner, Prof T Cootes
Applications accepted all year round

Funding Type

PhD Type

Musculoskeletal (MSK) diseases affect an increasing number of the population globally. In the UK, on average 3 in 10 people are affected, which increases to 1 in 2 in the age group 65+.
  Towards clinical application of exhaled volatile organic compound biomarkers: optimising breath sampling methods.
  Dr S Fowler, Dr A Horsley, Dr M Wilkinson
Applications accepted all year round

Funding Type

PhD Type

Sampling breath volatile organic compounds (VOCs) has the potential for real time detection and monitoring of a wide range of diseases.
  Precision genetics to improve Asthma prediction, diagnosis and treatment in children
  Dr J O'Sullivan, Dr T Fadason
Application Deadline: 15 April 2020

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
Application Deadline: 15 April 2020

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.
  Structural and functional studies of outer membrane assembly in Gram-negative bacteria and mitochondria - DongMED_Oct2020
  Prof C Dong, Dr P Crichton
Application Deadline: 17 April 2020

Funding Type

PhD Type

The outer membrane plays essential roles in Gram-negative bacteria and mitochondria. Dysfunction of outer membrane proteins occur in several human diseases, such as diabetes, Parkinson and other neurodegenerative disease.
  Comparative studies of wound and cancer inflammation in plants and animals
  Prof P B Martin
Applications accepted all year round

Funding Type

PhD Type

All organisms need to be able to repair wounds. A key aspect of this is combating the potential for infection when barrier layers are breached by tissue damage.
  A PhD applying machine learning techniques to Next Generation Sequencing Big Data to improve the prediction of prostate cancer patient outcome (BrewerU20FMH)
  Dr D Brewer, Prof C Cooper
Application Deadline: 17 April 2020

Funding Type

PhD Type

Prostate cancer (PCa) is the second most common cancer in men worldwide and an estimated 307,000 men annually die from PCa worldwide.
  Analytic methods for detecting and making sense of somatic genomic rearrangements
  Prof A Papenfuss
Applications accepted all year round

Funding Type

PhD Type

Bioinformatics is the application of mathematics, statistics and computational methods to the analysis of molecular biology data.
  Clinical cancer bioinformatics: developing new bioinformatics methods for improved analysis of cancer gene hybridisation capture panels
  Prof A Papenfuss
Applications accepted all year round

Funding Type

PhD Type

Bioinformatics is the application of mathematics, statistics and computational methods to the analysis of molecular biology data.
  Computational simulation of tumour formation and progression
  Dr D. Goode
Applications accepted all year round

Funding Type

PhD Type

Tumours comprise a complex mix of related but distinct cellular subpopulations that both compete and complement one another. These dynamics strongly influence how and when a tumour forms as well as its response to therapy, however there are hard to observe directly.
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