Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
to fundamental research in forest imaging and 3D deep learning Base Salary Level A Step 6 – 8 $113,400 - $121,054 p.a + 17% superannuation About the opportunity We are currently seeking a Postdoctoral Research
-
3D-printed buckets into granular packings. Research Environment You will be part of the Sydney Centre in Geomechanics and Mining Materials (SciGEM), a world-leading research group in applied granular
-
, you will investigate excavation methods that minimise energy losses. Your work will involve laboratory experiments using a programmable robotic arm to drive 3D-printed buckets into granular packings
-
, you will investigate excavation methods that minimise energy losses. Your work will involve laboratory experiments using a programmable robotic arm to drive 3D-printed buckets into granular packings
-
physics, chemistry, photovoltaics, materials science or related science or engineering subjects experience with 3D, 2D, lead free, and inorganic perovskites; perovskite-based tandems, large area solar cells
-
and analysing geochemistry data on regional- to global-scales. The platform enables users to interrogate geochemistry, geochronology and thermochronology data in 4D (3D through time), making EarthBank
-
ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods to applied nonlinear problems arising from water
-
on the detection and analysis of bacterial pathogens in respiratory samples develop novel approaches to analyse metagenomic data in the context of bacterial colonisation and infection produce high-quality research
-
and analysing geochemistry data on regional- to global-scales. The platform enables users to interrogate geochemistry, geochronology and thermochronology data in 4D (3D through time), making EarthBank
-
District. Your key responsibilities will be to: undertake collaborative research in metagenomics focusing on the detection and analysis of bacterial pathogens in respiratory samples develop novel approaches