50 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Sydney
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process on the micro-pilot scale to improve efficiency and product quality. About you PhD in data science or mechanical/chemical/computer engineering or related area digital twin and systems engineering
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strategic plan, the University is seeking academics who are passionate about improving health outcomes and/or health equity in the local, national and global communities, who are committed to teaching and
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presentations with clarity and professionalism. Well-developed planning, organisation, and computer literacy skills that support high-quality research and academic output. Proven experience supervising
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, you will investigate excavation methods that minimise energy losses. Your work will involve laboratory experiments using a programmable robotic arm to drive 3D-printed buckets into granular packings
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Full time 12 months fixed term with potential to extend, located at the University of Sydney, School of Geosciences Join a cutting-edge industry project investigating Earth systems across scale Base Salary $113,400 - $121,054 p.a + 17% superannuation About the opportunity We are seeking an...
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research impact strong ability to communicate effectively, including delivering presentations with clarity and professionalism. well-developed planning, organisation, and computer literacy skills
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theory of fault-tolerant quantum computing background in quantum information theory as applied to quantum many body systems and spin lattices. Pre-employment checks Your employment is conditional upon
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deliver on the University’s ambitious strategic plan, we are seeking academics and professionals who are passionate about improving health outcomes and/or health equity in the local, national and global
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of Medicine and Health. In order to deliver on the University’s ambitious strategic plan, the University is seeking academics who are passionate about improving health outcomes and/or health equity in the local
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biology and mammalian cell culture techniques to join our multidisciplinary team. Experience with RNA technologies, genome editing, microscopy, flow cytometry, and computational tools, including AI, is