Topic: molecular simulation

Develop deep-learning methods for generative protein design at the interface of machine learning, molecular simulation, structural biology and experimental protein engineering. Projects can investigate conformational ensembles, integrate protein language models with physics, or design proteins for challenging membrane and sugar interfaces. The researcher can develop an independent direction while collaborating with computational and experimental colleagues. Applicants submit a CV, research-interest statement and three referee contacts to the laboratory contact listed on its recruitment page.

Ethan Meitz and Jerry Wang discuss molecular simulation, heat transfer and the conversations that have shaped Meitz’s doctoral research. The episode connects computational methods with collaboration and mentoring, offering a practical view of research supported by the DOE Computational Science Graduate Fellowship.