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Genetics (3d) PhD Projects, Programs & Scholarships

We have 12 Genetics (3d) PhD Projects, Programs & Scholarships

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  Creating 3D models of ARVC disease with light-induced tuneable severity in stem cell-derived cardiomyocytes
  Dr V GEORGE
Application Deadline: 27 February 2020

Funding Type

PhD Type

Applications are invited for a 3 year Non-Clinical BHF PhD studentship to work on the above project in Keele University, in the group of Dr.
  The role of the breast microenvironment in suppressing early cancer invasion
  Assoc Prof B Parker, Dr D Zanker
Applications accepted all year round

Funding Type

PhD Type

Ductal carcinoma in situ (DCIS) is a pre-invasive stage of breast cancer, whereby the tumour cells remain restrained by myoepithelial cells that surround breast ducts.
  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.
  Characterisation of in vitro models of human salivary glands and their use in functional studies
  Dr L Bingle, Prof C Bingle
Applications accepted all year round

Funding Type

PhD Type

Saliva is produced by three pairs of major salivary glands and multiple minor glands in the lips, associated with the tongue and also with the palate.
  FoodBioSystems DTP - Reducing seed loss and waste in umbelliferous crops
  Dr S Kourmpetli, Dr L Bell
Application Deadline: 6 March 2020

Funding Type

PhD Type

Research Group. FOODBIOSYSTEMS BBSRC DTP. Umbelliferae species flower and set seed over a period of about 6 weeks depending on weather conditions.
  Barbour Foundation PhD Studentship - Cancer Prevention with Aspirin in the Ageing Gut (Biosciences Institute)
  Dr L Greaves, Dr M Jackson
Application Deadline: 11 March 2020

Funding Type

PhD Type

Number of awards. 1. Start date and duration. October 2020 for 3 years. Overview. Prevention is better than cure, and it has been shown that aspirin can significantly reduce the incidence of colorectal cancers if taken regularly.
  (WIS) Deciphering escape from senescence in vivo
  Prof P Townsend, Prof A D Whetton
Application Deadline: 6 March 2020

Funding Type

PhD Type

Senescence is a dynamic cellular state characterised by a prolonged and generally irreversible cell-cycle arrest that promotes tissue remodelling but it can also have detrimental implications on regenerative capacities of tissues and conduce to inflammation and the progression of ageing-related disease including cancer.
  MRC DTP 4 Year PhD Programme: Prediction of protein-protein interaction sites from population genetics data
  Prof G J Barton, Dr A Pisliakov
Application Deadline: 13 March 2020

Funding Type

PhD Type

This project is offered as part of the University of Dundee 4-year MRC DTP Programme “Quantitative and Interdisciplinary approaches to biomedical science”.
  Grass Crop Growth and Development
  Research Group: Institute of Molecular Plant Sciences
  Dr A Richardson, Dr S Spoel
Application Deadline: 31 March 2020

Funding Type

PhD Type

Leaf and floral organ shape are intricately linked to plant productivity. In grass crops such as barley, this relationship between shape and productivity directly impacts on grain yield.
  The analysis of genetic and environmental contributions to the risk of congenital heart disease
  Dr S Loughna, Prof J D Brook
Applications accepted all year round

Funding Type

PhD Type

According to BHF statistics 12 babies are born with heart defects in the UK each day and more cases. are diagnosed in later life.
  Computational Functional Genomics
  Assoc Prof G Lunter
Application Deadline: 24 July 2020

Funding Type

PhD Type

We are interested in building computational models to understand and predict the functional consequences of mutations in the (human) genome.
  Computational Functional Genomics
  Assoc Prof G Lunter
Application Deadline: 24 July 2020

Funding Type

PhD Type

We are interested in building computational models to understand and predict the functional consequences of mutations in the (human) genome.
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