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(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
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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
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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
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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
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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
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print and online formats, creating and distributing communication materials, coordinating social media accounts, supporting internal and external event delivery and helping with the execution of external
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amphibian species Identify experts on species for input, potentially seek expert elicitations, collate publication and citation data Map species distributions Assist with the organisation and delivery
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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
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distributions , Statistics and Computing, Vol. 10, No. 1, Jan. 2000 , pp73 - 83 .
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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