Phd Position in computational biology (Zampieri Lab)

We offer you

• You will have access to state-of-the-art research equipment in metabolomics, cell biology, time-lapse microscopy and single cell analysis.
• You will work in a dynamic and highly interdisciplinary team including computer scientists, experimentalists and clinicians.
• You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your scientific interests.
• Access to a large consortium of experts in different disciplines, such chemistry, engineering, clinics, computational biology and (Micro- / Cell- / Immune-)Biology (https://www.nccr-antiresist.ch/en/about-us/organization-structure/principal-investigators ).
• Opportunity to work in close contact with other basic- and clinical-research groups at the Department of Biomedicine and the Biozentrum in Basel
• Support from highly competent, experienced team members and potential to lead projects with a high degree of academic freedom

Key References:

Anglada-Girotto, M., Handschin, G., Ortmayr, K. et al. Combining CRISPRi and metabolomics for functional annotation of compound libraries. Nat Chem Biol 18, 482–491 (2022).

Fuentes, D.A.F., Manfredi, P., Jenal, U. et al. Pareto optimality between growth-rate and lag-time couples metabolic noise to phenotypic heterogeneity in Escherichia coli. Nat Commun 12, 3204 (2021).

Øyås O., Borrell S., Trauner A., et al. Model-based integration of genomics and metabolomics reveals SNP functionality in Mycobacterium tuberculosis. PNAS 117 (2020)

Campos A. and Zampieri M. Metabolomics-Driven Exploration of the Chemical Drug Space to Predict Combination Antimicrobial Therapies. Molecular Cell 74, 1291-1303 (2020)