271 high-performance-computing positions at The University of Queensland in Australia
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radiation simulations. Analyse experimental and computational results, publish findings in high-quality journals, and contribute to competitive research funding applications and collaborative projects
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, and in compliance with all relevant regulations. Through mentoring and team development, you will help build a high-performing, solutions-focused workforce committed to clinical trial excellence
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requirements. Strong leadership skills with the ability to mentor, develop, and manage high-performing teams in a service-driven environment. Exceptional stakeholder engagement skills, with the ability
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, and related activities. As the Manager, Marketing and Communication, you’ll manage a small, high-performing team of marketing and communications professionals to operationalise enterprise strategies
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. At UQ, we recognise that our people are our greatest strength and through this role, you’ll help foster a positive, inclusive and high-performing workplace that enables the UQ Sport community
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School of Electrical Engineering and Computer Science Part-time (60%), permanent position Base salary will be in the range $102,565.37 - $111,686.39 + 17% Superannuation (HEW Level 7) Based at our
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clinician-assisted chronic pain program in AOD residential services. The second phase will examine the feasibility, acceptability and preliminary outcomes of incorporating the pain program into AOD
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of computer proficiency with software packages and enterprise systems. High level accuracy and excellent attention to detail. Experience in student administration in a higher education institution or
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their lives. We’re seeking a Data Analyst with experience in data management and collaboration with researchers to support the delivery of multiple high-impact projects and ensure key milestones and
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reputed refereed journals and presenting at conferences. Technical expertise in programming (e.g. python) and experience with high-performance computing are highly desirable. Experience in machine learning