Job DescriptionThe position is available—initially for one year—from XXX, 2025, or as soon as possible thereafter—with the possibility of extension for four years. The Khalifa Centre for Genetic Engineering and Biotechnology employs cutting-edge population genomics, animal science technologies and bioinformatics to decipher the mechanisms of local adaptation and production traits in mammals. In this project, the successful candidate will develop new computational strategies to identify the structure of UAE camel, cattle and sheep breeds and candidate genetic variants for improved breeding strategies. The candidate will utilise and combine Illumina DNA SNP array genotyping and whole-genome sequencing, long-read sequencing, and RNA sequencing. The candidate can explore new analysis methods using high-performance computer clusters. Depending on their interest, it is possible to be involved in wet lab experiments and perform DNA and RNA extraction.Minimum Qualification
PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent • Excellent track record in Bioinformatics with at least one first-author publication, accepted or submitted • Experience with machine learning will be a plus (e.g., Tensorflow/Keras/PyTorch). • Programming experience is required (Python, R). • Previous experience in genomics population data analysis • Strong analytical, organizational, and record-keeping skills • Interest in working in a multidisciplinary and multicultural team • Willing to collaborate with internal and external collaborators, travel internationally, as well as support group members • Experience and interest in supervision
