This project is open to applicants who are able to obtain their own funding. We have a thriving international researcher community and encourage applications from students of any nationality able to fund their own studies or who wish to apply for their own funding.
The successful candidate should have an Honours Degree at 2.1 or above (or equivalent). Candidates whose first language is not English should have an IELTS score of 6.5 or equivalent.
Fernandes M, Wan C, Tacutu R, Barardo D, Rajput A, Wang J, Thoppil H, Thornton D, Yang C, Freitas A, de Magalhães JP (in press) “Systematic analysis of the gerontome reveals links between aging and age-related diseases.” Human Molecular Genetics.
Calvert S, Tacutu R, Teixeira R, Ghosh P, de Magalhães JP (2016) “A network pharmacology approach reveals new candidate caloric restriction mimetics in C. elegans.” Aging Cell 15:256-266.
Wood SH, van Dam S, Craig T, Tacutu R, O’Toole A, Merry BJ, de Magalhães JP (2015) “Transcriptome analysis in calorie-restricted rats implicates epigenetic and post-translational mechanisms in neuroprotection and ageing.” Genome Biology 16:285.
Keane M et al. (2015) " Insights into the evolution of longevity from the bowhead whale genome." Cell Reports 10:112-120.
Keane M et al. (2014) "The Naked Mole Rat Genome Resource: facilitating analyses of cancer and longevity-related adaptations." Bioinformatics 30:3558-3360.
Li Y & de Magalhães JP (2013) “Accelerated protein evolution analysis reveals genes and pathways associated with the evolution of mammalian longevity.” AGE 35:301-314.
Tacutu R et al. (2013) “Human Ageing Genomic Resources: Integrated databases and tools for the biology and genetics of ageing.” Nucleic Acids Research 41:D1027–D1033.
Wuttke D et al. (2012) “Dissecting the gene network of dietary restriction to identify evolutionarily conserved pathways and new functional genes.” PLoS Genetics 8:e1002834.
Silva AS et al. (2011) “Gathering insights on disease etiology from gene expression profiles of healthy tissues.” Bioinformatics 27:3300-3305.
Freitas A et al. (2011) “A data mining approach for classifying DNA repair genes into ageing-related or non-ageing-related.” BMC Genomics 12:27.
TEDx talk by Dr de Magalhaes:
Further details about our work on ageing and age-related diseases are available at:
FTE Category A staff submitted: 143.50
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