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We have 23 Bioinformatics (sexual) PhD Projects, Programmes & Scholarships

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Bioinformatics (sexual) PhD Projects, Programmes & Scholarships

We have 23 Bioinformatics (sexual) PhD Projects, Programmes & Scholarships

Epigenetic profiling of cereal fungal invaders. (SAUNDERS_J24DTP1)

Wheat blast and rusts are fungal diseases that severely damage cereal production worldwide. During infection, these fungi secrete proteins into wheat plants to reprogramme host plant circuitry, supporting their own growth and development. Read more

UCL SECReT: The International Training Centre for Security and Crime Research Degrees

UCL's Security Science Doctoral Research Training Centre (UCL SECReT) was founded in 2009 with support from the Engineering and Physical Sciences Research Council (ESRC) and an array of public and private sector organisations working in crime reduction security and law enforcement. Read more

Self funded MSc by Research or PhD in Biology: The oncogenic mechanism and potential of the emergent retrovirus ALV-K in global poultry

Lead supervisor: Dr Andrew Mason. The student will be registered with the Department of Biology. Background. Avian Leukosis Viruses (ALV) are oncogenic retroviruses which cause blood cancers in chickens, impacting commercial productivity and animal welfare. Read more

Self funded MSc by research or PhD in Biology: Chemical warfare in the rhizosphere: understanding the defensive role of plant root exudates against the bacterial pathogen Ralstonia solanacearum

Lead supervisor. Dr Andrea Harper. The student will be registered with the Department of Biology. R. solanacearum is a devastating bacterial plant pathogen that has a global distribution, wide host range, and no effective control methods. Read more

PhD Positions: DAAD Graduate School Scholarships (GSSP) (M/F/X)

The Leibniz Graduate School on Aging and Age-Related Diseases (LGSA) is a joint program of the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) and the Friedrich Schiller University (FSU) in Jena. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

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