Doktorand/PhD
Using open data and machine learning approaches to decode the regulatory regions of wheat
Stellenanangebot Doktorand/PhD in Norwich | Vereinigtes Königreich
Stellenbeschreibung
Project Summary
The life sciences are becoming increasingly data rich, yet understanding how to best exploit this information remains a major challenge and a bottleneck in advancing our understanding. Machine learning (ML) and artificial intelligence (AI) offer exciting new approaches for exploring these huge datasets and generating testable hypotheses.
Working in the Anthony Hall Group, this PhD project is a partnership between the Earlham Institute and the RnD Innovation Centre of a major agri-tech company, BASF. The project will train you to apply ML approaches to explore and mine large genomic datasets, with the aim of identifying and decoding the regulatory regions of wheat. Understanding the impact of sequence variationwithin these regulatory regions is key in allowing us to identify base changes that are altering expression of genes influencing important traits such as yield, disease resistance and heat and drought tolerance.
With this PhD you have the opportunity to make a difference! The methods developed will have direct applications in crop breeding and trait engineering within the timeframe of this PhD. The successful candidate will receive extensive training and unique experience, placing them at the forefront of data driven science in the agri-tech sector.#
Entry Requirements
At least UK equivalence Bachelors (Honours) 2:1 or UK equivalence Master's degree. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category).
Visit the NRP DTP website for further information on eligibility and how to apply: https://biodtp.norwichresearchpark.ac.uk/
You can also visit: www.earlham.ac.uk/application-guidance
Supervisor:
Prof. Anthony Hall
Contact email:
Co-supervisor:
Dr Rob Davey
Start date:
01 October 2021
Funding:
NRPDTP CASE funded by BBSRC and CASE Partner RTSG