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Field
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involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including cross-species analytics, analyses of lncRNA
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patients with autoimmune disease. This research involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including
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Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record (relative to opportunities) in research on disaster management, extreme contexts, and resilience including a body
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early intervention alerts in aquatic environments. Integrate open-source and commercial aquatech tools (e.g., air and underwater imaging, biosensor platforms) to build proof-of-concept detection pipelines
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School of Molecular Sciences ARC Centre of Excellence in Plants for Space Integrate advanced cell imaging and synthetic biology to create and characterise the first fully artificial plant chromosome
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: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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Universities; and #8 for Data Science and AI by QS World University Ranking. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers
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School of Molecular Sciences ARC Centre of Excellence in Plants for Space Integrate advanced cell imaging and synthetic biology to create and characterise the first fully artificial plant chromosome
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other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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neuroimaging experiments, proficient in image processing and programming paradigms. The successful candidate will contribute to ongoing multidisciplinary research and play an active role in developing novel