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administrative practices. • Well-developed written and verbal communication skills, attention to details, and the proven ability to liaise with a range of stakeholders. • Proficient level of computer literacy
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, Cardiovascular and musculoskeletal biomechanics, Orthopaedic biomechanics, Computational biomechanics, Biofluid mechanics, Biomechatronics, Artificial organs, Nanofluidics. Thermodynamics and Fluid Mechanics
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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Job no:517562 Work type:Casual Campus:Adelaide Categories:Faculty of Health & Medical Sciences, Casual Academic Activities We are seeking dedicated and passionate casual academic staff to assist
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much less advanced than for other forms of data. Our research is revolutionising the analysis of time...
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evaluation Applications of AI in biomedical research This project is suitable for students with an interest in genetics, computational biology, or data science. A background in statistics, computer science
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contribute to the development of applied, industry-relevant curricula, collaborate across disciplines, and connect art and design with fields such as business, science communication, computing, sustainability
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achievement Lead a dynamic, university-wide program empowering students to learn collaboratively Full time, 3 year Fixed-Term opportunity based in Hobart or Launceston About the opportunity In collaboration
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in the 2018 ERA rankings. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics
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, engineering, computing technologies and health and medical sciences. We are focused on creating innovative and practical solutions to real-life problems, discovering and applying new knowledge and new ways