ML-Driven Natural Product Synthesis Researcher

An established industry player is offering a fully funded studentship focusing on the intersection of machine learning and organic synthesis. This interdisciplinary role provides a unique opportunity to engage in cutting-edge research, exploring the complexities of natural product synthesis through innovative ML methodologies. Students will work closely with leading experts in the field, gaining invaluable experience in both total synthesis and deep machine learning. This position is ideal for candidates passionate about advancing their skills in a collaborative and supportive environment, while contributing to significant scientific discoveries. #J-18808-Ljbffr