Postdoctoral Research Associate
Applications for this vacancy closed on 11 November 2024 at 12:00PM
**About the role**
The Kelly lab is excited to announce a new post-doctoral position in
computational biology. This position is funded as part of an international
consortium of scientists who are looking to improve the performance and
resilience of feedstock crop plants
(https://www.nsf.gov/awardsearch/showAward?AWD_ID=2435360).
**About you**
As part of this consortium, the successful applicant will use computational
approaches to mine natural biodiversity in gene sequences to identify
engineering targets to increase lipid content and enhance the water use
efficiency. The project will make use of comparative genomics and molecular
evolution analyses to identify these targets. The project will make use of
software developed in the Kelly group as well as other widely used software
for biological sequence analysis. The engineering targets identified using
computational approaches by the successful applicant will be validated in crop
plants by other members of the consortium. This is an exciting collaborative
project that leverages disparate expertise across the consortium to attempt to
deliver real-world impact.
**How to apply**
Where Covid-19 has resulted in substantial disruption to your work or research
outputs, please explain this by providing an additional paragraph in your
supporting statement.
The University of Oxford is committed to equality and valuing diversity. All
applicants will be judged on merit, according to the selection criteria.
This post is full time and available immediately.
The closing date for applications is 12.00 noon on Monday 11th November 2024,
interviews are likely to be scheduled for late November. Applications for this
vacancy are to be made online via our e-recruitment system, and you will be
required to upload a supporting statement and CV as part of your online
application.
The Kelly lab is excited to announce a new post-doctoral position in
computational biology. This position is funded as part of an international
consortium of scientists who are looking to improve the performance and
resilience of feedstock crop plants
(https://www.nsf.gov/awardsearch/showAward?AWD_ID=2435360).
**About you**
As part of this consortium, the successful applicant will use computational
approaches to mine natural biodiversity in gene sequences to identify
engineering targets to increase lipid content and enhance the water use
efficiency. The project will make use of comparative genomics and molecular
evolution analyses to identify these targets. The project will make use of
software developed in the Kelly group as well as other widely used software
for biological sequence analysis. The engineering targets identified using
computational approaches by the successful applicant will be validated in crop
plants by other members of the consortium. This is an exciting collaborative
project that leverages disparate expertise across the consortium to attempt to
deliver real-world impact.
**How to apply**
Where Covid-19 has resulted in substantial disruption to your work or research
outputs, please explain this by providing an additional paragraph in your
supporting statement.
The University of Oxford is committed to equality and valuing diversity. All
applicants will be judged on merit, according to the selection criteria.
This post is full time and available immediately.
The closing date for applications is 12.00 noon on Monday 11th November 2024,
interviews are likely to be scheduled for late November. Applications for this
vacancy are to be made online via our e-recruitment system, and you will be
required to upload a supporting statement and CV as part of your online
application.
| dc:spatial |
Department of Biology, South Parks Road, Oxford, OX1 3RB
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| Subject | |
| oo:contact | |
| oo:organizationPart | |
| vacancy:applicationClosingDate |
2024-11-11 12:00:00+00:00
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| vacancy:applicationOpeningDate |
2024-10-14 09:00:00+01:00
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| vacancy:furtherParticulars | |
| vacancy:internalApplicationsOnly |
False
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| vacancy:salary | |
| type | |
| comment |
About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who are looking to improve the performance and resilience of feedstock crop plants (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2435360). About you As part of this consortium, the successful applicant will use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use of comparative genomics and molecular evolution analyses to identify these targets. The project will make use ... **About the role**
The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who are looking to improve the performance and resilience of feedstock crop plants (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2435360). **About you** As part of this consortium, the successful applicant will use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use of comparative genomics and molecular evolution analyses to identify these targets. The project will make use of ... |
| label |
Postdoctoral Research Associate
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| notation |
175966
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| based near | |
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