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qualifications in psychology, human factors, artificial intelligence, human computer interaction, or a discipline that could shed light on individual and team dynamics within the context of command and control
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to apply. Experience in mixed methods (i.e., quantitative, and qualitative) is desirable. We are particularly keen to recruit someone with excellent verbal and written communication skills who is keen to
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into valuable products. The scholarship will support one student to work on the development of novel biomass based adsorbents for CO2 capture. A combined experimental and simulation methods will be applied
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the ARC Centre of Excellence for the Digital Child. Projects will involve different research methods and designs in research areas: Community perspectives on children’s technology use, and how
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature
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for an outstanding PhD scholar in soil science and restoration ecology. This PhD project will look at cost-effective methods for monitoring soil carbon sequestration in biodiverse plantings, concurrent with soil
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for the development of a comprehensive resistance mutation detection method based on the application of long-read sequencing technology to complex field samples. Student type Current Students Future Students Faculty
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using a mixed methods research approach which may include semi-structured interviews, multi-stakeholder surveys and workshops. Knowledge and experience in employing these methods and stakeholder
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the ARC Centre of Excellence for the Digital Child. Projects will involve different research methods and designs in research areas: Community perspectives on children’s technology use, and how
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, power, IT, or computer engineering students eligible to enroll in a PhD by research degree Eligibility criteria Full-time enrolment Successful recipient will collaborate with our industry partner in