CRAG is an independent research institution engaged in leading-edge basic and applied plant and farm animal sciences. CRAG is established as a Consortium of the Spanish National Research Council (CSIC), Institute of Agrifood Research and Technology (IRTA), Autonomous University of Barcelona (UAB), and University of Barcelona (UB). The Center is located at the UAB Campus, and currently hosts 200 members from across the world.
Research Programs at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https://www.cragenomica.es/sites/default/files/2022-07/crag-summary-2020-2021_0.pdf).
The candidate will be in charge of identification of genomic structural variation (SV) on the rice pangenome with the final goal of improving genomic prediction. The candidate will be responsible of performing whole-genome alignments, SV identification and SV genotyping on a large population of rice accessions using short-read data. The tasks are included within the framework of the project “Deep is beautiful: Deep learning applications to genomic prediction”
- Educational requirements: Degree in Biology or Biotechnology
- Skills: working on UNIX systems, bash scripting, analysis of omics data using command line, working on High-Performance Computing clusters.
- Experience: Experience in plant transposable elements will be a plus
- Contract Duration: 2 months
- Hours/week: 37,5
Please submit all the application through CRAG website: http://www.cragenomica.es/jobs
CRAG is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission. All candidates will be considered qualified for the job without restrictions of gender, race, nationality or disability.
Interested candidates must submit the following documents:
- Curriculum vitae
- A motivation letter, including a brief summary of work experience (1 pages maximum).