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Biological & Medical Sciences PhD Projects in St Andrews

We have 14 Biological & Medical Sciences PhD Projects in St Andrews

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Showing 1 to 10 of 14
  The quantum theory of biological systems: finding quantum design rules for bio-organic nano-devices
  Dr B W Lovett, Dr A Chin
Applications accepted all year round
Nanoscale biological processes must necessarily be quantum mechanical in nature. Traditional approaches to modelling these quantum dynamics capture the behaviour of only a few “system” particles by assuming they are weakly coupled to a passive thermal environment.
  Comparing the social and health consequences of collective and solitary physical activity participation
  Dr G Ozakinci, Dr F Neville
Application Deadline: 31 May 2019
Background. Academic study has traditionally focused upon physical activity at an individual level and has thus neglected the potential role of collective participation for motivation and health outcomes.
  Improved pretreatments and fractionation of soft and hardwoods to access feedstock chemicals
  Dr N.J. Westwood
Application Deadline: 1 October 2019
This PhD will appeal to candidates who are interested in combining skills in chemistry with a drive to develop the use of renewable resources.
  Learning trajectories in neurodevelopmental disorders: nature and nurture
  Dr S Paracchini
Application Deadline: 15 May 2019
Applications are invited for a fully funded PhD scholarship to work with Dr Silvia Paracchini (School of Medicine) and Dr Margaret Leighton (School of Economics and Finance) at the University of St Andrews.
  PhD in the Biosynthesis and Enzymology of Fluorine Containing Metabolites in Streptomyces Bacteria
  Prof D O'Hagan
Applications accepted all year round
Research in the O’Hagan group has had a focus on the biosynthesis of fluorine containing natural products and the identification of a fluorination enzyme, ‘the fluorinase’, from Streptomyces cattleya.[1] Fluorine is very rare in nature, and in those rare cases where an organism can form a C-F bond from fluoride ion, then the enzymology is unique and interesting.
  Estimating numbers of molecular ‘species’ in a tissue
  Research Group: Division of Statistics
  Prof A Lynch, Dr H Worthington
Applications accepted all year round
An experiment to profile e.g. proteins or messenger RNAs will capture a sample of those molecules. There will be a random element to the sample but, depending on the technology used, there will be characteristics that influence the chances of seeing a particular molecule.
  Object classification from mobile and static sensor feeds
  Research Group: Centre for Research into Ecological and Environmental Modelling
  Dr C Donovan
Applications accepted all year round
The demand for video processing is rapidly increasing, driven by greater numbers of sensors with greater resolution, new types of sensors, new collection methods and an ever wider range of applications.
  Modelling population dynamics from detection survey data
  Research Group: Centre for Research into Ecological and Environmental Modelling
  Prof L Thomas, Dr R Glennie
Applications accepted all year round
Ecologists collect data on wild animal populations by a variety of survey methods and infer from these how the population changes over time through recruitment, survival, and movement processes.
  Stochastic modelling of populations of interacting cells with complex underlying phenotypes
  Dr G Minas, Dr T Lorenzi
Applications accepted all year round
Individual based models describe the stochastic evolution of interacting individuals-cells with different phenotypes. Reaction networks on the other hand describe the stochastic interactions between different phenotypes-molecular species within a single cell.
  Statistical design and inference for single cell gene expression data
  Research Group: Division of Statistics
  Dr G Minas, Prof A Lynch
Applications accepted all year round
The advances in biotechnology over the last few decades provide great opportunities for a better understanding of how our body works and how to keep it healthy and, through this, how diseases work and how to overcome them.
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