Job Description:
A researcher is required to join a Science Foundation Ireland funded research programme in Equine Exercise Genomics. The programme stems from the success of the development of the world's first academic research programme dedicated to understanding genetic contributions to exercise related phenotypes in Thoroughbred racehorses. For more information see recent publications (Hill EW 2009-2012) in Nature Communications, Science, PLoS ONE, PLoS Genetics, BMC Genomics, BMC Genetics, Animal Genetics, Journal of Applied Physiology and Equine Veterinary Journal.
The programme is using genomic technologies to investigate in a large cohort of Thoroughbred horses in training: 1) pangenomic genetic associations with measured physiological performance parameters; 2) molecular networks influencing exercise and training adaptation in skeletal muscle; 3) genetic associations with a principal clinical cause of poor performance; and 4) genetic contributions to skeletal muscle mitochondrial function.
Key words:
• Genomics
• Transcriptomics
• Bioinformatics
• Computational biology
• Equine exercise physiology
Additional Info:
[Click Here to Access the Original Job Post]
A researcher is required to join a Science Foundation Ireland funded research programme in Equine Exercise Genomics. The programme stems from the success of the development of the world's first academic research programme dedicated to understanding genetic contributions to exercise related phenotypes in Thoroughbred racehorses. For more information see recent publications (Hill EW 2009-2012) in Nature Communications, Science, PLoS ONE, PLoS Genetics, BMC Genomics, BMC Genetics, Animal Genetics, Journal of Applied Physiology and Equine Veterinary Journal.
The programme is using genomic technologies to investigate in a large cohort of Thoroughbred horses in training: 1) pangenomic genetic associations with measured physiological performance parameters; 2) molecular networks influencing exercise and training adaptation in skeletal muscle; 3) genetic associations with a principal clinical cause of poor performance; and 4) genetic contributions to skeletal muscle mitochondrial function.
Key words:
• Genomics
• Transcriptomics
• Bioinformatics
• Computational biology
• Equine exercise physiology
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]