Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. The specific focus of this position will be on the theoretical design of quantum platforms and models to improve upon existing error correcting codes, while leveraging platform-specific physics knowledge, be it
-
work on molecular dynamics simulations, where molecular interactions are predicted by neural network potentials. These state-of-the-art neural network models promise simulations at unprecedented accuracy
-
of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new scientific results. You will also take courses at the doctoral level
-
at various spatial and temporal scales, ranging from individual cells to tissues, organs, and full physiological systems. Computational modeling and simulation: development of constitutive laws, finite-element
-
and diseased human tissues and immune cells of the heart, cardiovascular system, and gastrointestinal tract. The research will build spatiotemporal models of human immunological tissue architectures
-
in vitro and in vivo infection models, flow cytometry, ELISA, western blots, and multiplex immunoassays. Our projects rely on successful partnerships with collaborators across academia and government
-
mouse models and interrogating clinical samples to improve our mechanistic understanding of the autoimmune and anti-tumor immune responses initiated by cancer immunotherapies. We also use several cellular
-
mouse models and interrogating clinical samples to improve our mechanistic understanding of the autoimmune and anti-tumor immune responses initiated by cancer immunotherapies. We also use several cellular
-
will involve applying multiple time-dependent electronic structure and nonadiabatic dynamic methods to model the CISS effect in molecular systems. Method development, potentially in the realm of time
-
leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The