This PhD project at Imperial College London focuses on developing the next generation of artificial intelligence tools for the design of therapeutic antibodies and proteins. The research aims to create and evaluate machine-learning methods that can generate protein and antibody sequences with enhanced properties, including improved specificity, stability, solubility, and reduced immunogenicity. These advances are crucial for the development of safer and more effective biologic drugs. The project is highly interdisciplinary, combining elements of computer science, bioinformatics, and molecular biology, and is ideal for students interested in applying computational approaches to real-world biomedical challenges. The successful candidate will have the opportunity to work at the forefront of AI-driven drug design, contributing to innovations that could transform therapeutic development. The position is based at Imperial College London, a leading institution in both computational and biomedical research. Funding details, application requirements, and deadlines are not specified in the current description.

This PhD position at Imperial College London focuses on the discovery and engineering of nanobodies, which are single-domain 'mini-antibodies' with significant potential in both therapeutic and diagnostic applications. Nanobodies are a novel class of antibody fragments derived from camelid antibodies, known for their small size, stability, and ability to bind unique epitopes. The project aims to identify new nanobodies and improve their properties for use in medicine and biotechnology. Students will gain experience in protein engineering, molecular biology, and immunology, working at the interface of basic science and translational research. The research environment at Imperial College London provides access to state-of-the-art facilities and a vibrant scientific community. Funding details, eligibility requirements, and application procedures are not specified in the current description.

The Sormanni Lab at the Department of Chemical Engineering, Imperial College London, is offering a PhD position focused on the development of data-driven technologies for rational antibody and protein design. The group integrates artificial intelligence and machine learning with laboratory-based directed evolution and biophysical methods to create novel or improved antibodies and proteins. This interdisciplinary research environment provides opportunities to work at the interface of computational and experimental science, leveraging state-of-the-art approaches in protein engineering, bioinformatics, and biophysics. The successful candidate will join a dynamic team aiming to advance the field of protein therapeutics and biomolecular engineering. The position is based at Imperial College London, a leading institution in science and engineering. Funding details, application requirements, and deadlines are not specified in the current description. Interested applicants are encouraged to seek further information from the Sormanni Lab or the Department of Chemical Engineering at Imperial College London.