360 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at The University of Queensland in Australia
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access to our Employee Assistance Program for staff and their immediate family UQ Study for Staff On campus childcare options Affordable parking (from just $6.15 a day) Salary packaging options About You
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Assistance Program for staff and their immediate family UQ Study for Staff On campus childcare options Affordable parking (from just $6.15 a day) Salary packaging options About You You will be a motivated and
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equipment Assist with radiography, Computer Tomography, Scintigraphy and M.R.I. procedures Competently perform diagnostic clinical pathology techniques Provide administrative support to all clinic staff as
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team to bring UQ's transition framework to life, shaping student success through data-driven strategies and collaborative leadership. We are seeking a strategic and data-driven program manager who has
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difference. We’re seeking someone with a PhD (or equivalent experience) in health research, epidemiology, statistics, or health services research—someone who thrives in a mixed-methods environment and brings a
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You Completion of a PhD relevant to the field of Dental Materials. An established profile in teaching and research relevant to the field of Dental Materials. National recognition in the area of
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developed computer skills, including proficiency with the Microsoft Office suite. A proven ability to work independently and within a team, using initiative, judgment, and discretion. Excellent organizational
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, and a condensed fortnight Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and
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, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family UQ Study for Staff On campus childcare options Affordable parking (from just $6.15 a day) Salary
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, implementing efficient monitoring of the various deployments using Grafana and Prometheus and the autoscaling of compute nodes for CPU and GPU workloads across various cloud providers. Key responsibilities will