The Computational Genomics Research (CGR) Lab is recruiting two PostDoc Fellows in the field of computational genomics.

Location:

• Data Science and AI division of the Department of Computer Science and Engineering (CSE). University of Gothenburg and Chalmers University of Technology, Gothenburg. Science for Life Laboratory, SciLifeLab, Sweden.

We are open to discussing research projects based on the candidate’s strengths. Three projects that we propose are:

Research project 1. Only 2% of the human genome sequence codes for proteins, while most of it consists of noncoding sequences, including regulatory factor binding regions, transposable elements, pseudogenes, conserved elements, and regulatory RNAs. These sequences have important roles in gene expression, cellular function, and development. Pangenomes are collections of genome sequences from one or several species, represented as a set of raw sequences, graphs, or sequence alignments. In this project, we will conduct a comparative study of noncoding genomic regions. The candidate should have expertise in algorithm design and high-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and sequence alignment methods is a plus. The candidate will focus on developing efficient indexing methods for the analysis of large-scale DNA sequence data.

Research project 2. This interdisciplinary project focuses on studying genetic variation and determining how different variants co-occur on the same paternal or maternal haplotype, a process known as haplotype phasing. We have previously developed methods for haplotype phasing in humans and other species. In this project, we aim to develop machine learning models to advance the characterization of genetic variations.

Research project 3. De novo genes are genes that arise from previously non-coding DNA rather than being inherited from an existing gene during the course of evolution. They are important because they can introduce new functions and contribute to the evolution and adaptation of organisms. We will develop methods to study how de novo genes evolve in eukaryotes.

 

(We review applications on a rolling basis.)

Check out our Research and Publications.)

Candidate qualifications:

• A PhD degree
• At least one high-quality first-author publication
• Proficiency in written and spoken English.
• Strong programming skills, including Bash scripting, Python or C++.
• Experience in analyzing biological data, such as DNA sequences is plus.

How to apply:

Interested candidates are invited to apply here. Please email us if you have any questions or inquiries: sina.majidian[at]chalmers.se.