-
Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification
-
postdoctoral researcher will develop and apply advanced simulation techniques, and data-driven approaches to explore complex biophysical phenomena at the cell membrane. This role provides a platform for
-
Position Summary We are looking for a Postdoctoral Scholar to help the lab clarify the structural biology of human membrane proteins and membrane protein complexes involved in epithelial cell/cell adhesion
-
immunotherapies. The successful candidate will play a pivotal role in modeling the complex tumor microenvironment and its dynamic interactions with therapeutic immune cells. While expertise in in vitro
-
schooling behavior of relatively small fish as they navigate complex turbulent flow fields. Using novel analytical techniques for data processing, using numerical models of varying complexity to expand
-
expertise in AI and classical machine learning applications for structural biology. Key responsibilities include: • Cloning, expression, and purification of target proteins and complexes. • Crystallization