7 optimization positions at Macquarie University in Australia

  • Macquarie University | Macquarie University, New South Wales | Australia | 7 days ago

    resolution Drive efficiency in contract renewals, extensions, and ongoing supplier engagements, ensuring optimal commercial outcomes and value realisation Identify and define strategic and operational

  • Macquarie University | Macquarie University, New South Wales | Australia | 1 day ago

    science, especially with transformer models Jax, PyTorch, and/or Julia; with probabilistic programming languages; or with high-dimensional optimization and inference in physics contexts. Essential criteria

  • Macquarie University | Macquarie University, New South Wales | Australia | 2 days ago

    to inform process control changes. Digital Improvements: Review and optimize existing systems, test and implement new technologies, and leverage AI to drive digital improvements. Documentation Management

  • Macquarie University | Macquarie University, New South Wales | Australia | 8 days ago

    service culture, which empowers all staff to deliver optimal outcomes and take accountability for their individual and team development . About You You are a detail-oriented payroll professional with deep

  • Macquarie University | North Ryde, New South Wales | Australia | about 1 month ago

    urgent matters, and ensure optimal use of leadership time. Coordinate logistics for meetings, prepare briefing materials, and manage travel arrangements. Support governance processes and liaise with

  • Macquarie University | North Ryde, New South Wales | Australia | about 2 months ago

    gathering, root cause analysis, and performance trending to inform process control changes. Digital Improvements: Review and optimize existing systems, test and implement new technologies, and leverage AI

  • Macquarie University | North Ryde, New South Wales | Australia | about 2 months ago

    to identify resource needs across multiple trials and ensure clinical trials have adequate staff resources allocated and that staff are adequately supported to provide optimal clinical trial implementation

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