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Statistics PhD Projects, Programs & Scholarships in St Andrews

We have 12 Statistics PhD Projects, Programs & Scholarships in St Andrews

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  Inter-specific Interactions: investigating the role of grey seals in the harbour seal decline
  Research Group: Scottish Oceans Institute
  Dr D Russell, Prof P M Thompson, Dr GD Hastie, Dr A Brownlow
Application Deadline: 4 March 2019
The UK hosts two species of seal. the harbour (Phoca vitulina) and grey seal (Halichoerus grypus) which are key top predators in UK seas.
  Bayesian identifiability for log-linear models.
  Research Group: Division of Statistics
  Dr M Papathomas
Applications accepted all year round
Log-linear modelling is the standard approach for investigating the full joint dependence structure between categorical variables such as phenotypes and SNPs.
  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.
  Modelling the interface of metabolism, methylation and mitochondria in prostate cancer
  Prof A Lynch
Applications accepted all year round
The interface of metabolism, methylation and mitochondria is of key importance for understanding the aetiology, biology and prognosis of prostate cancer[1].
  Statistical underpinnings of mutational signature analyses
  Research Group: Division of Statistics
  Prof A Lynch, Dr M Papathomas
Applications accepted all year round
Mutational signatures have been one of the hot topics of cancer research for the past six years. The idea that one can take the mutational profile of a sample and infer the processes that have acted on the tumour over time is an extremely attractive one.
  Spatial capture-recapture methods for snow leopards
  Prof D Borchers, Dr R Glennie, Dr K Sharma
Applications accepted all year round
We do not know how many snow leopards are left in the world. Snow leopard range country governments and scientists have launched an ambitious initiative to develop a robust assessment of the global snow leopard population within the next five years, and monitoring efforts will continue after that.
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