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interviewed prior to the job closing date. We encourage candidates to apply as soon as possible. The University of Queensland reserves the right to close this application process early.
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arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Applicants should possess a PhD or
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working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Applicants should
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flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Applicants should possess a PhD or near completion of a PhD in the field
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School of Mathematics and Physics Analytics for the Australian Grains Industry (AAGI) Play a lead role in developing crop trait prediction solutions Utilizes physics-informed machine learning (PIML
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opportunities via our academic promotions process Based at our vibrant and picturesque St Lucia Campus About UQ As part of the UQ community, you’ll have the opportunity to work alongside the brightest minds, who
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experience in relevant research methodology or techniques required for this body of research. Experience using methods to process clinical samples including fresh blood, tissue etc. Ability to work
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once a year. About You Completed PhD in Materials Engineering, Materials Science, Chemical Engineering, Physical Chemistry, Physics or a related field. Demonstrated competence in: Advanced transmission
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School of Mathematics and Physics Analytics for the Australian Grains Industry (AAGI) Play a lead role in developing optimisation and decision-making models in agriculture supply chain analytics
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, 17.5% annual leave loading, flexible working arrangements and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in the field of Bioengineering