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Chemical biology 2026
This EMBO workshop covers emerging chemical-biology research spanning computational protein design, big data and AI, technologies for probing and manipulating biology, chemical synthetic biology, and RNA.
Postdoctoral Researcher (Computational Protein Design & Antigen Evolution)
Computational postdoc in the Antigen Evolution & Design Lab developing machine learning approaches to understand pathogen antigen evolution and design vaccine candidates, including protein language models and structure prediction tools such as AlphaFold3. Start October-November 2026.
Doctoral student in AI based design of twisted hybrid nanowires
Four-year doctoral studentship in the Saragovi group designing proteins that self-assemble into structures directing mineral growth for sustainable electronics, combining computational protein design with deep learning, reinforcement learning, and high-throughput biochemical assays.
“Discovery of Novel Gain-of-Function Mutations Guided by Structure-Based Deep Learning”
Life of biological molecules spans time and length scales relevant at atomic to cellular time and length scales. Hence, novel molecular modeling approaches are required to be inherently multi-scale. Here we describe multiple methodologies developed in our laboratory: rapid discrete molecular dynamics simulation algorithm, protein design and structural refinement tools. Using these methodologies, we describe therapeutic strategies to combat this HIV and cancer, as well as design novel approaches for controlling proteins in living cells and organisms.