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Data Analysis PhD Projects, Programs & Scholarships in St Andrews

We have 10 Data Analysis PhD Projects, Programs & Scholarships in St Andrews

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  Detecting high-risk smokers in Primary Care Electronic Health Records: an automatic classification, data extraction and predictive modelling approach.
  Prof F Sullivan, Prof T Kelsey
Application Deadline: 7 December 2019

Funding Type

PhD Type

PhD Opportunity in Populations and Behavioural Science at the School of Medicine, University of St Andrews.
  Automated evaluation of geo-political risk.
  Research Group: Division of Statistics
  Dr C Donovan
Applications accepted all year round

Funding Type

PhD Type

There are massive amounts of data presented to the internet in real or near-to-real-time that allow monitoring of economic and societal conditions, amongst other things.
  Modelling encounters in surveys of unmarked animal populations
  Research Group: Centre for Research into Ecological and Environmental Modelling
  Prof D Borchers, Dr R Glennie, Dr M Rowcliffe
Applications accepted all year round

Funding Type

PhD Type

Many wild animal populations are monitored by placing detectors (e.g. cameras or microphones) in a study area and recording encounters with individual animals.
  Modelling local population dynamics for whale sharks in the Maldives
  Research Group: Centre for Research into Ecological and Environmental Modelling
  Dr H Worthington
Applications accepted all year round

Funding Type

PhD Type

Data for this project will be provided by the Maldives Whale Shark Research Programme. The broad aim is to further the understanding of the local population dynamics of this enigmatic species.
  Adapting methods from statistical ecology and applying them to molecular data in cancer
  Research Group: Division of Statistics
  Prof A Lynch, Dr H Worthington
Applications accepted all year round

Funding Type

PhD Type

There are a number of questions that arise from proteomic and RNA studies in cancer that have clear parallels in the world of ecology.
  Bayesian identifiability for log-linear models.
  Research Group: Division of Statistics
  Dr M Papathomas
Applications accepted all year round

Funding Type

PhD Type

Log-linear modelling is the standard approach for investigating the full joint dependence structure between categorical variables such as phenotypes and SNPs.
  Investigating modes of action of genetic risk variants through integrated analysis of multiple high-dimensional “omics” data.
  Research Group: Division of Statistics
  Prof A Lynch, Dr M Papathomas
Applications accepted all year round

Funding Type

PhD Type

Genome-wide association studies have identified thousands of genomic loci that are associated with higher risk of a trait (often a disease such as breast cancer).
  Trading in Peer-to-peer (P2P) markets
  Research Group: Division of Statistics
  Dr C Donovan
Applications accepted all year round

Funding Type

PhD Type

Peer-to-peer market trading is becoming more prevalent any many areas that were traditionally the domain of large companies – stocks, foreign exchange, gambling.
  Network Analysis of Rocky Shore Ecosystems
  Research Group: Centre for Biological Diversity
  Dr IM Matthews, Dr V A Smith
Application Deadline: 1 December 2019

Funding Type

PhD Type

Rocky shore ecosystems are known to undergo "regime shift", a shift in stable states of community make-up, often from a more desirable, species-rich composition, to a low-diversity make-up from which they cannot recover.
  Integrating Interdisciplinary Big Data: A Network-Based Approach
  Research Group: Centre for Biological Diversity
  Dr V A Smith
Application Deadline: 1 December 2019

Funding Type

PhD Type

Big data across diverse fields is both a growing resource and a growing challenge.
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