Doctoral student in Computational Genomics
Chalmers University of Technology, Gothenburg, Sweden

We are looking for a PhD student to join an exciting project at the
intersection of genomics and data science. This project focuses on
studying genetic variations in noncoding regions of the human genome by
leveraging evolutionary information and developing models that predict the
effects of variants. We tackle this challenge via two main directions: (1)
developing efficient pangenomic data structures and evolutionary models,
and (2) designing deep learning architectures trained on genomic data.

Requirements: Proficient in a programming language and demonstrated
experience in one of the following areas, with a willingness to learn
one another: (1) genome sequences and omics data, (2) deep learning, and
(3) compressed data structures for strings. 4) Mathematical modeling of
DNA or protein evolution.

Apply here:
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14653

All the best,
Sina Majidian
Computational Genomics Research Lab
Chalmers University of Technology
https://CGRlab.github.io/

Sina Majidian <sina.majidian@gmail.com>

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