|Salary:||£28,762 to £36,386 per annum (pro rata if applicable) depending on skills and experience (minimum £32348 with relevant PhD).|
|Placed On:||27th January 2023|
|Closes:||23rd February 2023|
We are seeking a Research Associate/Fellow to take a leading research role in a BBSRC funded research project entitled “Quantitative metabolomics for prediction of lameness and elucidation of related mechanistic pathways in dairy cattle”, a project to be conducted in collaboration with the School of Pharmacy, University of Nottingham.
This innovative project will utilise untargeted quantitative metabolomics and machine learning to address one of the highest priority diseases of dairy cattle; lameness. This project, will for the first time, develop algorithms to predict lameness at an early stage in first lactation dairy cows and uncover underlying mechanistic pathways using data generated from metabolomic analysis of biofluids. The use of AI and machine learning methods will enable sophisticated predictive models to be developed, identifying significant metabolites associated with lameness. Predictive models will be the building blocks for development of early prediction and detection methods for lameness and lesions causing lameness. Identification of significant metabolites and investigation of associated mechanistic pathways will address fundamental knowledge gaps that exist relating to the pathogenesis of lameness. The findings from this project will offer an opportunity for a step-change in the way that lameness is detected and managed; through tools for early prediction of lameness and improvements in management based on a better understanding of mechanistic pathways.
The successful applicant will join a friendly, highly motivated and successful Ruminant Population Health research group with wide research connections throughout the School. The post will be primarily research focused (90%) with limited but some teaching and administrative duties. This role provides an exciting opportunity and will involve working directly with dairy cattle, including leading on the organisation and collection of samples, as well leading the implementation of metabolomics and data analytic phases of the project. Collaboration with current research teams and projects will be essential.
In addition to the online application form candidates should submit a CV which gives details of academic qualifications, including class of first degree, a career summary and a full list of publications.
This post is available on a fixed term contract until 31/08/2026. Hours of work are full time (36.25 hours). Job share arrangements maybe considered.
Informal enquiries may be addressed to Laura Randall, email email@example.com. Please note that applications sent directly to this email address will not be accepted.
It is a condition of this post that satisfactory enhanced disclosure is obtained from the 'Disclosure and Barring Service'.
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