Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
simulations to model this process and, in conjunction with ongoing experimental studies, obtain design rules for the optimum crown ether, lithium counter-ion, and solvent, which will lead to enhancements in
-
electron microscopy image simulations Development of a machine learning model capable of inferring 3D atomic structure from two-dimensional TEM projection images Application of the new approach
-
to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
-
(april.kartikasari@rmit.edu.au ). A copy of electronic academic transcripts A CV that includes any publications/awards and the contact details of two referees. To apply, please submit the following documents to Prof
-
of computational chemistry. Applicants can have a background from cheminformatics including RDKit, machine learning applied to chemistry, and molecular modeling Our group and research- and what do we offer? Our
-
economic impact through simulation modeling. Beyond this unique project, this position offers an exciting opportunity to advance simulation techniques in HTA! Information and application Submit your
-
linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
-
deforestation rates, improved agricultural practices, reduced mismanagement of land use and enhanced community engagement #assist in the biophysical modelling system (link to ClimateBridge cluster) to local
-
’, i.e. policies that deal with problems after they occur, rather than long-term prevention. By developing innovative simulation models that incorporate the life-course consequences of policy options, your
-
well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and