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Aberdeen University Bioinformatics PhD Projects, Programs & Scholarships

We have 17 Aberdeen University Bioinformatics PhD Projects, Programs & Scholarships

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Showing 1 to 15 of 17
  Chemo-enzymatic Synthesis and Potential Applications of Novel Heterocyclic Alkaloids
  Dr H Deng, Dr L Trembleau
Applications accepted all year round

Funding Type

PhD Type

Antimicrobial resistance (AMR) is rising to dangerously high levels in all parts of the world. In Europe alone, drug-resistant bacteria are estimated to cause 25,000 deaths annually and cost more than US$1.5 billion every year in healthcare expenses and productivity losses.
  Genome mining of novel antimicrobial natural products from new bacterial strains
  Dr H Deng, Prof M Jaspars
Applications accepted all year round

Funding Type

PhD Type

Antimicrobial resistance (AMR) is rising to dangerously high levels in all parts of the world. In Europe alone, drug-resistant bacteria are estimated to cause 25,000 deaths annually and cost more than US$1.5 billion every year in healthcare expenses and productivity losses.
  Learning from the past to predict and reduce the risk of infectious disease pandemics
  Dr F Perez-Reche, Prof N Strachan
Applications accepted all year round

Funding Type

PhD Type

The World Health Organisation reports that infectious diseases cause 63% of childhood deaths and 48% of premature deaths. There is the ongoing risk of epidemics and pandemics that can cause widespread morbidity and mortality (Spanish flu, ebola, SARS, E.
  Quantitative Risk Assessment for Food Safety (allergens, microbial pathogens or chemical contaminants)
  Prof N Strachan, Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

This project will use computational methods to assess risks. An expectation of the society we live in is that the food that we eat is safe.
  Statistical physics of DNA replication
  Dr A Moura, Prof C Romano
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to apply statistical physics and probability theory to the problem of DNA replication in living cells.
  QUADRAT DTP: Actions of early life endocrine-disrupting chemical exposure on adult fish health using the zebrafish model
  Prof S Martin, Prof G Hardiman
Application Deadline: 29 January 2020

Funding Type

PhD Type

Landfills and other legacy waste sites in coastal zones are major sources of persistent organic pollutants (POPs), including polychlorinated biphenyl (PCBs), Perfluoroalkyl substances (PFASs) and polybrominated diphenyl ethers (PBDEs), to transitional waters and marine environments.
  QUADRAT DTP: Environmental ancient DNA analysis of Lateglacial and Early Holocene contexts in Ireland and Scotland
  Dr L Girdland Flink, Dr G Plunkett
Application Deadline: 29 January 2020

Funding Type

PhD Type

This project aims to refine our understanding of Lateglacial and Early Holocene biodiversity and ecosystems in Scotland and Ireland using ancient DNA extracted from ancient sediments (sedimentary ancient DNA, or sedaDNA).
  QUADRAT DTP: Functional parasite epigenomics and transcriptomics for improving honey-bee health in a global pollination crisis
  Dr M Wenzel, Dr C Meharg
Application Deadline: 29 January 2020

Funding Type

PhD Type

Pollination is an immensely important ecosystem service that not only contributes to maintaining biodiversity in wild ecosystems but is also indispensable for meeting ever-increasing demands on agriculture to sustain global food security.
  QUADRAT DTP: Modelling metagenomics-derived microbial traits in soils under climate change
  Dr A Malik, Dr T Caruso
Application Deadline: 29 January 2020

Funding Type

PhD Type

Background. Microorganisms are critical in terrestrial carbon cycling because their growth and activity largely control the fate of recent plant carbon inputs as well as protected soil organic carbon (SOC).
  QUADRAT DTP: The cost of being a fussy eater – Oligolectic pollinators and environmental change
  Dr F Manfredini, Dr L Scott
Application Deadline: 29 January 2020

Funding Type

PhD Type

Insect pollinators provide fundamental ecosystem services to natural and human-dominated communities. Different pollinators have different abilities to cope with environmental changes, due to differences in their behaviour, physiology and life-history traits.
  QUADRAT DTP: The genomic basis of environmental resilience and vertical zonation in the intertidal rocky shore
  Prof S Piertney, Dr S Helyar
Application Deadline: 29 January 2020

Funding Type

PhD Type

The extreme environmental variation in salinity, temperature and pH that characterises the rocky shore during a tidal cycle has driven a raft of different physiological and behavioural adaptations among intertidal marine organisms to cope with abiotic stress.
  Automated Big data analysis
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

This project will focus on the task of automating data analysis tasks, particularly for numerical data but the techniques developed could be applied to other domains such as textual data analysis.
  Autonomous learning with Artificial Intelligence
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The ability to learn the sensorimotor maps of unknown environments without supervision is a vital capability of any autonomous agent, be it biological or artificial.
  Soft Robotics Wearable Technologies in Healthcare - LEVERHULME
  Dr M Giannaccini, Dr S S Aphale
Application Deadline: 28 February 2020

Funding Type

PhD Type

Applications are invited for one fully funded doctoral position in soft robotics at the School of Engineering, University of Aberdeen.
  Clinical and molecular correlates of response to first line treatment in oral lichen planus
  Dr K Hijazi, Prof J Gibson
Application Deadline: 13 March 2020

Funding Type

PhD Type

Oral lichen planus is a chronic disease of the lining of the mouth that causes pain and increases the risk of oral cancer. The negative impact of oral lichen planus on quality of life has been proven.
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