BEMÆRK: Ansøgningsfristen er overskredet
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is available from 1 January 2024 or later.
Title:
Integrating Complex Multi-Layer Data to Accurately Predict Breeding Values for Methane Emission in Cows
Research area and project description:
Denmark is at the forefront in green research, technology development and innovation to increase productivity and resource efficiency, while reducing negative environmental impacts in dairy farming. This PhD project is a part of a larger project, which aims at developing a strategy where high milk production can be maintained whilst reducing enteric methane production using genetics and breeding.
Your role is to develop prediction models capable of efficiently integrating complex multi-layer data, including the host genome, rumen microbiome, gene expression (mRNA levels), and metabolome. These models will enable us to accurately predict breeding values for methane emission in cows, and thereby to accurately select less methane emitting cows for breeding.
You will:
- Identify the list of host genes, rumen microbiota and rumen compounds that responds to feed additive.
- Improve the understanding of interactions between the individual host (cow) genome and rumen microbiome, and identify rumen microbes, which have high heritability.
- Study genetic properties of rumen metabolites and associate metabolites’ profile with microbiome.
- Develop efficient multi-omics models to predict breeding values for methane emission, combining eQTL, genotypes, metabolome and rumen microbiome data.
For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application.
Qualifications and specific competences:
Applicants to the PhD position must:
- Hold a Master's degree in a relevant quantitative field (Quantitative genetics, Statistical genetics, Applied statistics, Computational biology, or another related field).
- Have keen interest in quantitative modeling of biological processes
- Have an interest in sustainable agriculture and environment
- Have sufficient experience in at least one of the scientific programming languages (e.g. Julia, R, Python)
- Be fluent in English (written and spoken)
- Have advanced writing and presentation skills, and good communication skills
- Have the ability to work independently
- Have additional experience in one or more of the following subjects is highly desirable – 1) network modeling, 2) Bayesian data analysis, 3) genomic prediction and GWAS
Place of employment and place of work:
The place of employment is Aarhus University, and the place of work is C. F. Møllers Alle 3, 8000 Aarhus C, Denmark
Contacts:
Applicants seeking further information are invited to contact:
- Goutam Sahana, goutam.sahana@qgg.au.dk
How to apply:
Please follow this link to submit your application. Application deadline is 13 October 2023 at 23:59 CEST. Preferred starting date is 1 January 2024.
For information about application requirements and mandatory attachments, please see our application guide.
Please note:
- Only documents received prior to the application deadline will be evaluated. Thus, documents sent after deadline will not be taken into account.
- The programme committee may request further information or invite the applicant to attend an interview.
- Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Aarhus Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Aarhus Universitet, Nordre Ringgade 1, 8000 Aarhus C
-Ansøgning:
Ansøgningsfrist: 13-10-2023; - ansøgningsfristen er overskredet
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Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5897090