Sort by
Refine Your Search
-
Antarctica. What you’ll do: Develop a statistically informed calving parameterisation that improves the projection of sea level rise from major Antarctic drainage basins Assess iceberg size distributions
-
parameter distributions in a model with errors using observations. Quantify ice sheet contributions to sea level rise with a calibrated model of major drainage basins. Make original contributions that advance
-
(Academic Level A) Based at our St Lucia Campus with fieldwork primarily in Palau About This Opportunity We invite applications from motivated Field Ecologists with expertise in mapping coral distributions
-
of pre-existing and new eDNA metabarcoding datasets obtained in Australian coastal waters. Co-develop a new computational tool and/or indices for detecting early signals of marine ecosystem change. Lead
-
the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. This position will work with our partners Praetorian Aeronautics and their testing team
-
computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
-
large-scale distributed computing systems (e.g. Edge, IoT), evidenced by involvement in several industry projects. Technical Experience: Exposure to Go, Python, Java or equivalent. Experience with
-
Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 Wallace, C.S. and D.L. Dowe (2000). MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions
-
to quality teaching at undergraduate and postgraduate levels. Desirable: Demonstrated technical knowledge of principles and applications of distributed fibre optic sensing technology. Experience in designing