275 high-performance-computing positions at The University of Queensland in Australia
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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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and timely student load and income projections for the purposes of University budgetary, admissions, and other strategic planning activities; Developing and managing the University’s program development
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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
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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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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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and deliver courses in Indigenous Education and related areas, contribute to curriculum development and program innovation, and support student learning through high-quality teaching, assessment, and
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technical teams to achieve high standards of customer service and deliver outcomes aligned with key performance indicators Proven ability to manage projects and budgets to deliver high-quality outcomes
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. The successful candidate will have an established or emerging research program in mathematics or statistics and will contribute to undergraduate and postgraduate teaching and curriculum development, including
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within a high-performing, cross-disciplinary research team and engage effectively with academic and industry partners. High-level organization and time management skills, with demonstrated capacity
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning