21 phd-biomedical-signal-processing Postdoctoral positions at University of Sydney in Australia
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and reputation of the Faculty of Medicine and Health (FMH) and the University of Sydney through research, mentorship, and stakeholder engagement. About you PhD or BHons in Biomedical Science, Computer
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as required About you PhD or PhD under submission in biomedical engineering, dentistry or relevant field a developing network of academic, industry and professional partners and stakeholders a
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the university and faculty/school strategic agenda undertake other duties and contribute to projects appropriate within the classification level as required. About you: PhD degree in a relevant area, such as
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interdisciplinary research efforts process and analyse functional neuroimaging data (fMRI, EEG, etc.) to extract meaningful insights into brain function. About you a PhD in Neuroscience, Computational Neuroscience
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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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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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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools