Fully-funded PhD Positions in Computational Biology, Cancer Genomics, and Machine Learning at MBZUAI

Fully-funded PhD positions are available in the Computational Biology & Cancer Regulatory Genomics Lab at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, United Arab Emirates. Led by Assistant Professor Aziz Khan, the lab focuses on cutting-edge research at the intersection of computational biology, cancer genomics, epigenomics, and machine learning. The group develops and utilizes open-source tools and methods to analyze, integrate, and interpret large-scale multi-omics cancer data, aiming to advance precision medicine and understand gene regulation, especially the role of the non-coding regulatory genome. Research in the lab bridges biology, multi-omics, artificial intelligence, and data science, with a strong emphasis on open science and reproducibility. The team is committed to fostering a collaborative and inclusive environment, recognizing the importance of diversity in people, ideas, and data for scientific creativity and discovery. Recent lab achievements include contributions to international resources like the JASPAR database and high-impact publications in Nature and other leading journals. Applicants should have a strong background in computational biology, computer science, bioinformatics, or related fields, with experience in genomics, machine learning, or multi-omics data analysis being highly desirable. The PhD program at MBZUAI is fully funded, covering tuition and providing a stipend, with additional benefits such as health insurance and research support. English language proficiency and academic excellence are required as per university standards. To apply, candidates should visit the MBZUAI application portal and review the PhD program requirements. Prospective students are encouraged to explore the lab's research at khanlab.bio to ensure alignment with their interests. For more information, visit the official program page or contact the supervisor directly via LinkedIn.