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Key Performance Areas

Deliver effective and high quality teaching, learning experiences, and assessments; supervise research projects at undergraduate levels; lead and participate in scholarly research, securing funding and publishing in reputable journals; contribute to the development and continual review of curriculum and academic programmes; establish partnerships with industry stakeholders and professional bodies to enhance academic relevance; mentor junior staff and contribute to capacity building initiatives within the Department; participate actively in administrative duties and faculty service; engage in meaningful community outreach in alignment with the University’s mandate and perform any other reasonable duties as may be assigned.

Job Description

A Master’s degree (NQA Level 9) in Transport Management; Maritime Management, Transport & Logistics Management,Transport Engineering, with at least Four (4) years of lecturing and or Industrial experience and or equivalent combination of  relevant professional experience. Excellent English communication skills, both oral and written. Competency

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RSS Feed Source: Academic Keys

In Seattle, a meteorologist analyzes dynamic atmospheric models to predict the next major storm system. In Stuttgart, an automotive engineer examines crash-test simulations for vehicle safety certification. And in Singapore, a financial analyst simulates portfolio stress tests to hedge against global economic shocks. 

Each of these professionals—and the consumers, commuters, and investors who depend on their insights— relies on a time-tested pillar of high-performance computing: the humble CPU. 

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With GPU-powered AI breakthroughs getting the lion’s share of press (and investment) in 2025, it is tempting to assume that CPUs are yesterday’s news. Recent predictions anticipate that GPU and accelerator installations will increase by 17% year over year through 2030. But, in reality, CPUs are still responsible for the vast majority of today’s most cutting-edge scientific, engineering, and research workloads. Evan Burness, who leads Microsoft Azure’s HPC and AI product teams, estimates that CPUs

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For all the excitement around GPUs—the workhorses of today’s AI revolution—the central processing unit (CPU) remains the backbone of high-performance computing (HPC). CPUs still handle 80% to 90% of HPC workloads globally, powering everything from climate modeling to semiconductor design. Far from being eclipsed, they’re evolving in ways that make them more competitive, flexible, and indispensable than ever.

The competitive landscape around CPUs has intensified. Once dominated almost exclusively by Intel’s x86 chips, the market now includes powerful alternatives based on ARM and even emerging architectures like RISC-V. Flagship examples like Japan’s Fugaku supercomputer demonstrate how CPU innovation is pushing performance to new frontiers. Meanwhile, cloud providers like Microsoft and AWS are developing their own silicon, adding even more diversity to the ecosystem.

What makes CPUs so enduring? Flexibility, compatibility, and cost efficiency are key. As Evan Burness of Microsoft Azure points out,

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