Postdoc in AI-Driven Design of Selective Inhibitors for Antifungal Receptor Targets - DTU Bioengineering

Are you establishing your career in computational protein design and looking to apply your skills to a major unmet societal need? At DTU Bioengineering, you will develop next-generation, highly selective inhibitors for fungal receptors as an underexplored target class with potential to expand the antifungal drug-development toolbox.

You will work at the forefront of generative AI and structural biology, translating de novo designs into experimentally tested candidates in close collaboration with expert wet-lab researchers. The position offers a strong platform for building an independent research profile at the interface of AI, protein engineering, fungal biology, and translational biotechnology.

Responsibilities and qualifications Your overall focus will be to use state-of-the-art generative AI and computational structural-biology methods to design selective protein inhibitors against fungal receptors. You will lead the computational design cycle, from target and binding-site analysis through candidate generation, prioritization, and interpretation of experimental results.

You will work closely with researchers performing cell-based validation and use the resulting data to refine and improve subsequent design rounds1 …