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expertise in sedimentary geochemistry. It is expected that the candidate will have experience in collecting elemental geochemical data and interpreting them in terms of sedimentary processes that may include
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required: PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics
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the supervision of research students (PhD and Honours) and provide technical support across the projects. About you The University values trust, accountability and excellence . As such, we see the importance
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responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence, advanced characterisation and measuring methods for high performance perovskite
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opportunity The School of Electrical and Computer Engineering at the University of Sydney is seeking to appoint a Research Associate or Postdoctoral Research Associate to contribute to an exciting project
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of large-scale infrastructure on fish connectivity and populations by advancing our understanding of critical ecological processes within these modified coastal seascapes. The project expects to generate new
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Computer Engineering at the University of Sydney is seeking to appoint a Research Associate or Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of accelerating
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University). Neuroimaging Data Analysis: Process and analyse structural and functional neuroimaging data to extract meaningful insights into brain function. Apply state-of-the-art software tools and
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the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate – EarthBank who has: a PhD or have submitted a PhD thesis in a relevant geoscience field
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critical minerals geology, crustal processes and tectonics, isotope geochemistry and biogeochemical earth systems. These research strengths are underpinned by an extensive portfolio of world-class analytical