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3d PhD Projects, Programs & Scholarships

We have 375 3d PhD Projects, Programs & Scholarships

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  (MRC DTP) Peri-conceptional stress signalling through O-GlcNAcylation: effects on the early maternal-embryonic interface
  Prof J Aplin, Prof M Westwood, Dr Peter Ruane, Dr A Stevens
Application Deadline: 15 November 2019

Funding Type

PhD Type

Cellular stress during the peri-conceptional period, including that caused by assisted reproductive treatment (ART), can lead to early pregnancy loss, reduced gestation or birthweight and altered postnatal growth, with short- (neurodevelopmental delay) and long- (cardiovascular and metabolic disease)-term health consequences.
  (MRC DTP) Using realist methods to develop a complex intervention to discourage adolescents from engaging in knife crime
  Dr C Lennox, Dr Isabelle Hunt
Application Deadline: 15 November 2019

Funding Type

PhD Type

Background. Knife crime is a serious public, criminal justice and health concern. The number of young people convicted or cautioned for a knife or offensive weapon offence has increased by almost half since 2015.
  Building the human endometrium in vitro: The role of macrophages in receptive and decidual endometrium to optimise reproductive health
  Dr E Mann, Dr Peter Ruane, Prof J Aplin, Dr L Mohiyiddeen
Applications accepted all year round

Funding Type

PhD Type

The human endometrium is a highly dynamic tissue that rapidly generates over ~20 days and differentiates to form a uterus lining receptive to embryo implantation, further transforming into decidua to support embryonic development, or breaking down before regenerating a few days later.
  Exploiting tumour-promoting paracrine signals in solid cancers to turbocharge genetically redirected T cells
  Dr A Hurlstone, Prof R Edmondson
Applications accepted all year round

Funding Type

PhD Type

Adoptive cell therapy (ACT) using tumour infiltrating lymphocytes (TILs) or genetically redirected T cells are some of the most promising approaches to emerge recently for the treatment of metastatic disease.
  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.
  Identifying the role of glycosaminoglycans and microglia in early pathology of mucopolysaccharide diseases
  Dr B BIgger, Dr R Holley, Prof S Flitsch
Applications accepted all year round

Funding Type

PhD Type

Mucopolysaccharidoses (MPS) are inherited metabolic disorders caused by the deficiency of specific lysosomal enzymes required for the catabolism of glycosaminoglycans (GAGs) where each MPS type lacks a specific enzyme resulting in the build-up of GAGs in all cells of the body.
  Understanding the gene regulatory landscape of embryonic stem cells and cancer cells
  Prof A Sharrocks, Prof M Rattray
Applications accepted all year round

Funding Type

PhD Type

Cell identity is ultimately determined through decoding the genome through the action of gene regulatory mechanisms. In particular, sculpting of the chromatin landscape to reveal unique configurations of gene regulatory elements in each cell type is a major driver of cell identity.
  Automation of Chemical Process Development
  Dr S Ferguson
Application Deadline: 1 December 2019

Funding Type

PhD Type

The development of chemical processes for the synthesis and manufacturing of pharmaceuticals relies on a largely manual research and development approach with large elements of trial and error-based optimization.
  Bending the curve – restoring biodiversity by understanding taxon-biome-responses to global threats
  Ms K Jones
Application Deadline: 22 November 2019

Funding Type

PhD Type

Lead Supervisor – Prof Kate Jones (University College London). Co-supervisors – Prof Rob Ewers (Imperial College London), Dr Marcus Rowcliffe (Zoological Society of London).
  Machine learning in the wild – fine-grained learning from audio and visual data
  Ms K Jones
Application Deadline: 22 November 2019

Funding Type

PhD Type

Lead Supervisor – Prof Kate Jones (University College London). Co-supervisors – Dr Oisin Mac Aodha (University of Edinburgh), Prof Gabriel Brostow (University College London).
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