53 post-doc-image-processing Fellowship research jobs at The University of Queensland
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! Key responsibilities will include: Research: Support large-scale cognitive neuroscience research on brain stimulation, imaging, neurofeedback and neuropharmacology; develop a coherent research program
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Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
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to the safe and efficient operation of research equipment, infrastructure, methodologies and protocols Contribute to the upkeep of the project website and ensure safe handling and disposal of research materials
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expertise in digital imaging technologies and data-driven research solutions. Apply for and manage competitive research funding, including joint projects with colleagues. Supervise and mentor Honours and
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leave loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About
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in advanced signal processing techniques and good understanding of emerging machine learning methodologies used in NDE. You will work in close collaboration with project partners at the University
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in Education. A focus on indigenous
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loading, flexible 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
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the academic promotions process. About You Our ideal candidate will have a passion for and demonstrated ability to solve highly complex problems with a high degree of scientific rigour. The candidate will be
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biosynthesis and the downstream extraction and purification processes. Key responsibilities will include: Research: Optimise bioreactor conditions and feeding strategies for maximum PHA production and monitor