Sort by
Refine Your Search
-
contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
-
mechanism. Recent developments in protein structure prediction and protein de novo design have opened new possibilities for probing such mechanisms. The project will seek to use existing algorithms to new
-
. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
-
algorithms and developing computer programs to implement new analytical methods. We have a strong emphasis on molecular and genome evolution, molecular population genetics, firmly grounded in statistical and
-
crystallography or cryo-EM). Photoactive proteins experiments. Mammalian cell culture. Computational skills : De novo protein design. Training and fine-tuning of machine learning algorithms. Molecular docking