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, there is opportunity to improve this process including potentially using activity data (based on mobile devices). Areas that this project could relate to include applied economics/statistics, urban planning
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physical attributes will support and improve the mapping of seagrasses. · Develop machine learning models and object-based image processing algorithms to differentiate and identify seagrass habitat
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physical assessments with SPs which may include walking assessments, listening to their chest, testing their muscle strength, observing how they get in and out of bed, or testing their balance. Cognitive and
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in Physics (1956). Eligibility To be eligible to apply, candidates must be: An Australian citizen, Australianpermanent resident, New Zealand citizen, Permanent Humanitarian visa holder or international
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writing) in a succinct, professional, and responsive manner. Experience contributing to HR projects and/or process improvement initiatives. Experience undertaking multiple tasks with competing deadlines and
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to increase the rate of discovery of objects of interest. These robots could, in principle, take on many roles in the target discovery process including, but not limited to, rapidly locating and flagging
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international conferences. To be successful you will need: PhD (or thesis submitted) or equivalent experience in the development of gravitational wave detectors or experimental laser physics or optical sensing
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to talent acquisition projects Make recommendations and implement process improvement activities To be successful you will need: High-level organisational and administrative skills including the ability
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process: To apply, please email the following documents to principal supervisor Prof Pavel Bedrikovetski ([email protected] )with the name of the scholarship in the subject line: CV Cover
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robotic process automation) to better measure and manage supply chains. A/Prof Kannan researches supply chains and procurement, with a focus on measuring and reporting on Scope 3 emissions. She also studies