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community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best work
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an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and bioinformatics researchers in
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the Commonwealth Department of Health's Rural Health Multidisciplinary Training (RHMT) Program. Our focus at the BHUDRH, is to lead the design and delivery of innovative teaching and learning environments
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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developing strong networks across the University and industry. The Person The ideal candidate will hold a PhD in geochemistry and have strong geochemical analytical experience, ideally with expertise in zinc
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
hold a PhD in geochemistry and have strong geochemical analytical experience, ideally with expertise in zinc ores and associated trace elements. You will demonstrate exceptional verbal and written
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Engineering School of Computer Science School of Electrical and Computer Engineering All positions are full-time continuing (tenure-track), teaching and research roles based in Sydney, however flexible working
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applicant will have the option for full-time or part-time work. What’s Required A PhD (Level E) or equivalent (Level D) in Midwifery or an equivalent field. A strong clinical background with a track record in
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Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and
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mechanical loading of such samples. The focus of the PhD project will be to use machine learning techniques to better understand the interplay between the crystal orientations and deformation patterns in a