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International Business Development Manager - Southeast Asia Apply now » Date: 29 Apr 2025 Job Location: Melbourne, VIC, AU Sydney, NSW, AU Company: Central Queensland University About this
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve
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develop a versatile time series foundation model that can capture complex temporal patterns and adapt to various downstream tasks such as anomaly detection [2] and classification [3,4]. The ultimate goal is
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Status: Closed Applications open: 15/07/2024 Applications close: 1/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information The project aims to develop
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to conduct innovative research on development of advanced sodium-ion batteries, under the support of a newly granted ARC Discovery Project. Sodium-ion batteries (SIBs) demonstrate a great potential to replace
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Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a three-month industry engagement component with Gelomics a structured professional development and
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scholarship A fully funded PhD position (AUD 37K) is available in the QUT's School of Chemistry and Physics in Brisbane, Australia starting in January 2026. The project focuses on the development
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Apply now Job no:527566 Work type:Casual Location:Canberra, ACT Categories:Knowledge Exchange Pacific Island Languages Curriculum Developers Expression of interest UNSW Canberra has been engaged by
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Australian National University | Canberra, Australian Capital Territory | Australia | about 7 hours ago
at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks