Postdoctoral Positions in Computational Cancer Genomics and Algorithm Development

The AI in Genomics Lab at the Genome Institute of Singapore, led by Professor Mile Sikic (also affiliated with the University of Zagreb, Faculty of Electrical Engineering and Computing), is seeking Postdoctoral Fellows to join a dynamic team tackling computational challenges in cancer genomics. The research focuses on developing novel algorithms for de novo genome assembly and applying these techniques to unravel the structural complexity of cancer genomes. This is an exciting opportunity for computer scientists and computational biologists who are passionate about pushing the boundaries of current methods in bioinformatics and genomics. Successful candidates will contribute to projects involving the development and application of advanced computational methods, with a particular emphasis on sequence alignment, de novo assembly algorithms, and the analysis of highly complex cancer genomes. The work has significant real-world clinical implications, aiming to advance our understanding of cancer biology through innovative computational approaches. Applicants should have a PhD in computer science, computational biology, or a related discipline, with proven experience in sequence alignment or de novo assembly algorithms, or in the assembly of highly complex genomes. The lab values creativity, technical expertise, and a passion for solving challenging algorithmic problems in the context of cancer research. While specific funding details are not provided, the positions are standard postdoctoral fellowships at the Genome Institute of Singapore. Interested candidates are encouraged to contact Professor Mile Sikic directly via LinkedIn to discuss the opportunity and potential fit within the team. Keywords: cancer genomics, computational biology, genome assembly, algorithm development, sequence alignment, de novo assembly, bioinformatics.