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Analytical Chemistry (animal genetics) PhD Projects, Programs & Scholarships

We have 4 Analytical Chemistry (animal genetics) PhD Projects, Programs & Scholarships

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  Targeting cannabinoids to the gut-associated lymphoid tissue (GALT) for improved treatment of autoimmune diseases
  Dr P Gershkovich
Applications accepted all year round

Funding Type

PhD Type

Autoimmune diseases are conditions that are triggered by the immune system initiating an attack on the body’s own molecules. The causes of such attacks in most cases are unknown, but a number of studies suggest that they are associated with factors such as genetics, infections and environment.
  FoodBioSystems DTP - Variation in forages for improved micronutrient nutrition in livestock
  Dr S Palmer, Dr S Stergiadis, Prof A Kingston-Smith, Mr P Billings
Application Deadline: 6 March 2020

Funding Type

PhD Type

Research Group. FOODBIOSYSTEMS BBSRC DTP. Milk is a rich source of protein, calcium, iodine, magnesium and manganese, and is seen as a key mechanism via which health and nutrition can be improved in many countries, developed and developing alike.
  EPSRC CASE PhD studentship: Novel high-throughput approaches for the rapid analysis of target engagement by mass spectrometry (collaboration with Medicines Discovery Catapult)
  Research Group: Astbury Centre for Structural Molecular Biology
  Prof F. Sobott, Dr J.R. Ault
Application Deadline: 28 February 2020

Funding Type

PhD Type

The ability to provide fast and efficient readouts for drug engagement with targets (proteins and oligonucleotides) is a key driving technology in the biopharma pipeline, e.g.
  Mathematical Virology: A New Mathematical Approach to Viral Evolution Grounded in Experiment
  Research Group: Astbury Centre for Structural Molecular Biology
  Prof P G Stockley
Applications accepted all year round

Funding Type

PhD Type

Mathematical modelling of natural phenomena has the potential to be predictive but requires direct verification by experiment. Such models can then be very powerful indicators of our understanding and they permit in silico simulations of situations that are difficult to test experimentally.
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