Two Postdoctors in quantitative genetics; Ref SLU.ua.2023.2.5.1-1305; Department of Animal Breeding and Genetics:
Our Vision at the Department of Animal Breeding and Genetics is “Better use of genetic resources”. The Department is located at Ultuna Campus, Uppsala and has 55 co-workers. We perform research in molecular genetics, quantitative genetics, applied genetics, and bioinformatics across a range of livestock species and companion animals. We also contribute to several education programs at SLU.
We have an exciting portfolio of research projects in statistical genetics, machine learning, genomic prediction, population genetics, bioinformatics, and functional genomics. We are now recruiting two postdoctors in quantitative genetics with very solid statistical genetics knowledge that will work with whole genome sequence data in ongoing research projects and large scale phenomic and genomic data in dairy cattle.
Duties:
We are looking for two postdoctors that will use genetic and genomic data to answer questions in animal biology and animal management and work with analyses of phenotypic, pedigree, and genomic data in livestock for a wide-range of traits. Specific responsibilities include, but are not limited to:
1) Genome-wide association studies and genomic prediction of a range of trait complexes. 2) Analysis of whole genome sequencing data and transcriptomics. 3) Quantitative validation of genomic-based predictions and identified variants. 4) Design and analysis of stochastic simulation studies. 5) Development of data editing and analysis scripts and pipelines. 6) Reporting and publishing of research results. In particular, we are looking for two experts in quantitative genetics and genomics, who would like to extend their knowledge to the field of animal breeding.
Qualifications:
A Ph.D. in statistical genetics, animal science specializing in genetics, animal breeding, bioinformatics, or a related field is required. Preferred skills include a solid background in quantitative genetics, biostatistics, programming (e.g., R, python, Fortran, C/C++), use of common software for analysis of genetics data, and experience of large-scale data analysis. In addition, fluent English in both speaking and writing is required. You shall be able to work across different projects and cooperate well with different project groups.
Place of work: Uppsala
Form of employment: Temporary employment for 24 months, with the possibility of extending 12 months.
Extent: 100%
Starting date: The projects for which we are recruiting are ongoing and ideally, the new researchers can start in August.
Application:
We welcome your application via the application button below no later than 2023-04-28. The application must be written in English and include a cover letter indicating why you are interested in the position and how you meet the qualification requirements.
Selection among the eligible applicants is based on written application including curriculum vitae (CV) and list of publications; personal references; and an interview. SLU is an equal opportunity employer.
Union representatives:
The Swedish University of Agricultural Sciences (SLU) is a world-class international university with research, education and environmental assessment within the sciences for sustainable life. Its principal sites are in Alnarp, Umeå and Uppsala, but activities are also conducted at research stations, experimental parks and educational establishments throughout Sweden.
We bring together people who have different perspectives, but they all have one and the same goal: to create the best conditions for a sustainable, thriving and better world. SLU has just over 3,000 employees, 5,000 students and a turnover of SEK 3 billion. The university has invested heavily in a modern, attractive environment on its campuses.
Contact person
Dirk-Jan de Koning
Professor in quantitative genetics
+4618672039
firstname.lastname@slu.se
Martin Johnsson
Researcher in quantitative genetics
firstname.lastname@slu.se
Sreten Andonov
Researcher in quantitative genetics
+4618671961
firstname.lastname@slu.se