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, and a PhD research program with over 120 students. 40 academic staff conduct experimental research in many areas of Psychology, including behavioural and cognitive neuroscience, perception, learning
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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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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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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 | about 1 month 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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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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demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Demonstrated knowledge in Quasi-Monte Carlo methods and/or finite element analysis and/or machine learning is
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at the Australian National University. The Fellow will lead independent, high-impact research in advanced machine learning and hybrid modelling for genomics and cellular processes, contributing directly to the
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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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PhD Scholarship This project aims to improve rare earth element recovery by designing peptide-polymer composites inspired by lanthanide-binding proteins using machine learning and computational