637 computational-physics-"https:"-"https:"-"https:"-"https:"-"Shenzhen-Technology-University" positions at Monash University
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in a relevant discipline Demonstrated excellence in education program design, delivery and innovation A strong publication record in education or allied health‑related research Experience leading
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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support committees, coordinate meetings, and ensure smooth operations, while demonstrating advanced computer literacy in systems such as TRIM and Visio. About Monash University At Monash , work feels
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to cultivate relationships with Monash University’s most generous and transformative donors, building a strategic program focused on securing and stewarding philanthropic gifts in excess of $5 million. This
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Program application process . When prompted, select “Health Economics” as your area of specialisation. Integrated PhD program commencement: July / August 2026 Applications Close: Sunday 1 February 2026, 11
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knowledge program analysis, fuzzing, software testing, natural language processing
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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diverse stakeholders. This role demands strategic thinking, strong interpersonal skills, and a passion for fostering research talent. You will navigate policy and process with ease, build collaborative
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load