386 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Monash University in Australia
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. The successful candidate will have: Expertise in astrophysical radiative transfer and computational fluid dynamics Demonstrated expertise in the theory and phenomenology of supernova explosions Experience in
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This project will investigate and develop the ways in which AI algorithms and practices can be made transparent and explainable for use in law enforcement and judicial applications The Faculty of Information Technology has a mission to advance social good through its research. Key to this...
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Technical Platform Lead Job No.: 690152 Location: Clayton campus Employment Type: Full-time Duration: 3 year fixed-term appointment Remuneration: $140,157 - $148,769 pa HEW Level 09 (plus 17% employer superannuation), although a competitive remuneration package can be applied for an experienced...
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able to demonstrate present and current Australian work rights Have an undergraduate or post graduate qualification in Epidemiology, Computer Science, or Biostatistics, or have a public health, clinical
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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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University of Warwick (UK), explores the design and development of computational Decision Support tools to help us better manage the interactions between beneficial insects, such as bees, and the flowering
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My research focusses on understanding stars: their evolution and chemical composition, and how they move throughout our galaxy. Most of what we know about the universe comes from starlight, but the detailed interaction between matter and light in the extreme conditions of stellar interiors is...
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employee experience in alignment with Monash’s strategic plan, Impact 2030. With a high degree of autonomy and influence, you will: Lead and evolve the HR Business Partnering model to deliver strategic
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed