184 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at The University of Queensland
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industrial biotechnology laboratory, preferably in the context of microbial bioproduction or metabolic engineering projects. Advanced technical capabilities in design–build–test–learn (DBTL) experimental
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for children and families in Far North Queensland. The research is guided by community priorities and aims to make a real difference locally. How to apply If you are interested or want to learn more, please
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of practice education systems and processes that underpin high-quality simulation and student practice learning. The position plays a key role in sustaining and expanding practice placement opportunities across
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with clinical trial management systems and an ability to learn new systems as required. Appointment to this role is subject to the successful completion of relevant pre-employment checks, which may
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administration processes or the ability to quickly learn and adapt. Demonstrates excellent attention to detail, accuracy, and the ability to effectively prioritise tasks. Possesses outstanding communication skills
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computer systems and packages e.g. Microsoft office, SI-net, Service Centre and the use of CRM systems would be desirable. Appointment to this role is subject to the successful completion of relevant pre
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employability. The role involves delivering career development learning for undergraduate and postgraduate students, including international cohorts, through tailored career advice, workshops, events and
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deliver high-impact teaching in avian, wildlife, and exotic veterinary medicine, providing students with authentic, hands-on learning within our veterinary teaching environment. In this role, you will apply
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, including capillary isoelectric focussing, ion exchange and size exclusion. High level of computer competency, including ability to use systems supporting mass spectrometry including experience in data
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Aboriginal or Torres Strait Islander professional who blends analytical thinking with a passion for community-led research. You are tech-savvy, eager to learn new systems, and committed to high standards