The lab is looking for talented students and postdocs to help us develop methods to understand biological systems in physiological and pathological states, and build synthetic molecules and genomes to address healthcare needs. Check our research and publications page to see our recent research interests.
Ideal computational applicants should have a strong experience in machine learning, statistics, algorithms and computational biology, in particular sequencing analysis and synthetic DNA design. Proven programming experience and fluency in using Unix systems is required prior to start.
Postdocs: Email Dr Stracquadanio your CV, 1 recent research article, 1-page statement with your i) research experience, ii) your current research interests and iii) how you fit and can contribute to the team. Please, arrange 2 reference letters to be sent directly to Dr Stracquadanio.
PhD students: Email Dr Stracquadanio your CV, 1-page statement describing i) your research interests, ii) how your formal training would allow you to succeed as a graduate student, and iii) how you would fit with the lab. Please, arrange 1 reference letter to be sent directly to Dr Stracquadanio.
Undergraduate students: We welcome undergraduate and post-graduate students to join the team to get research experience. However, to be productive, students should have already taken relevant programming, mathematics or bioinformatics modules.
There are a number of funding opportunities depending on your career stage, along with ongoing funded projects in the lab. Please, mention the schemes you are eligible for in your correspondence with Dr Stracquadanio.