Sort by
Refine Your Search
-
targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
-
technology, nanoscience, photonics and future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and
-
, photonics and future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and is a driving force for
-
-theoretic or intersection-theoretic ideas. The goal is to understand how such invariants behave under deformation and transformation, and to develop new tools that bridge geometric, analytic, and arithmetic
-
the Division of Chemical Biology , we combine and develop protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods to address cutting-edge questions in biology
-
from a multi-layer perspective, focusing on SDN-controlled networks and vulnerabilities in virtualized scenarios. The work involves developing multi-layer risk models, creating risk mitigation tools
-
Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a