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the timing, scale, and rate of mammal declines in Australia. They will use critical inferences of past demographic change and high-performance computing to disentangle the ecological mechanisms that were
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learning and one or more of the following: transformer networks, implicit neural functions, graph neural networks and/or probabilistic graphical models; and causal inference. • An outstanding publication
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Demonstrated success in student support and engagement Track record of research activity and external grant success Experience of supervising research students to completion Ability to build effective internal
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Criteria: A PhD in applied mathematics, engineering, computer science, data science, physics, or a related area. Strong academic track record (including peer-reviewed publications and conference
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services support ARCS academic and research endeavours Develop and maintain oversight of a unified dashboard to ensure data consistency, efficient tracking of clinical placements, funding and performance
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students. The institute works on a mixture of fundamental and commercially orientated research projects in computer vision and machine learning, with a strong track record of publication in the top venues
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will need: Demonstrated experience in agriculture, farming and animal health practice Demonstrated experience in timetabling practical and coordinating teaching activities. Proven track record
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science or environmental data sharing. Track record of contributing to competitive research funding applications or demonstrated potential to support grant writing. Experience in mentoring or supervising
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) materials synthesis, analyses, and performance test, and mechanistic studies of catalytic processes for advanced oxidation technologies Strong track record in publications in high impact journals as first
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. Expertise and interest in stem cell biology, epigenetics and associated techniques. Outstanding academic track record (including peer-reviewed publications and conference presentations) and demonstrated