45 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Sydney
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opportunity The School of Chemical & Biomolecular Engineering is currently seeking a Postdoctoral Research Associate to join an innovative research program focused on durable low-carbon concretes, corrosion
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to the design, analysis, and interpretation of data using neuroimaging (EEG/MRI), behavioural, and/or computational approaches prepare manuscripts, reports, and presentations to disseminate research findings
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to identify and remove biases and barriers to make our workplace open, supportive and safe for everyone. To learn more about the School of Chemistry, click here About you The University values courage and
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looking for a Postdoctoral Research Associate who has: a PhD in a quantitative field (e.g., physics, mathematics, computer science) interest and experience in simulating and analyzing multivariate time
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and coatings. You will be given the opportunity to work collaboratively with a motivated team of early career researchers and PhDs on optical low-adhesion coatings. Within the team, you will be given
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applicant will work on a project funded through a Medical Research Future Fund grant. The overall aim of this project is to develop a culturally informed social and emotional wellbeing program for young (18
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seeking a Postdoctoral Research Associate (Psychology) to contribute to a program of research developing and validating a new clinical measure to assess childhood adversity. The role will suit a researcher
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leading role in mentoring junior students, with the opportunity to take on formal supervision roles. About you Qualifications: PhD in Neuroscience, Computational Neuroscience, Psychology, or a related field
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to: contribute to an interdisciplinary research program investigating the biochemical properties of a novel enzymatic oxygen sensing system and its role in low oxygen diseases facilitate drug discovery efforts
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FRS extract RNA from soil samples for metatranscriptomic sequencing perform metatranscriptomic sequencing of soil samples and downstream computational analysis to detect known and novel RNA viruses