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Field
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to carry out research in the field of plant breeding, phenotyping, crop modelling, GWAS and genome analysis, particularly in cereals Demonstrated capacity to manage and analyse large data sets. Track record
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doctoral qualification (or equivalent experience) in a relevant discipline Strong quantitative analysis skills (R, Stata, or SPSS), with a track record of research outputs Experience in health services
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track record of impactful research with priority populations, especially Aboriginal and Torres Strait Islander communities. You will bring excellent analytical and communication skills, a proven ability
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technologies (e.g., 5G) for industrial automation and remote operations. Track record of successful competitive grant applications. Experience in postgraduate student supervision. Experience with predictive
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bring demonstrated analytical skills, a track record of peer-reviewed publications and experience in data extraction for systematic reviews or meta-analyses. Strong proficiency with software tools such as
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research track record, demonstrated through high-quality publications, collaborations, and success with research funding Contributing to a collaborative and supportive research environment, including
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demonstrate strong statistical analysis and manuscript preparation skills, a strong track record of refereed publications, and a demonstrated trajectory of leadership capability. You should be able to work
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referees, you can complete these online when prompted in the application form. Two page statement addressing the selection criteria. 1-2 page statement outlining your research objectives for the next 3 years
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areas such as: Mathematical quantum physics, including quantum information theory, C*-algebras, von Neumann algebras, and the rigorous mathematics of quantum field theory Strong or emerging research track
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Skills and Experience at Level B: A strong research track record with high-quality and high-impact outcomes, with clear evidence of sustained commitment to research excellence. Proven research leadership