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actionable insights for decision-making and planning. Required knowledge AI and machine learning (time series prediction, GNNs, or deep learning) Digital twin design and simulation frameworks Programming (Python, <b>MATLAB</b>, or relevant simulation tools) Learn more about minimum entry...
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actionable insights for decision-making and planning. Required knowledge AI and machine learning (time series prediction, GNNs, or deep learning) Digital twin design and simulation frameworks Programming (Python, <b>MATLAB</b>, or relevant simulation tools) Learn more about minimum entry...
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Australian National University | Canberra, Australian Capital Territory | Australia | about 19 hours ago
. in C++, C, MATLAB and/or VHDL for FPGA configuration); has fundamental knowledge and demonstrated ability to conduct research in wireless communications and/or signal processing; preferably has
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, or Engineering. Candidates should be able to demonstrate applied coding and analytical skills (e.g. Python, R, SQL, or MATLAB) and an interest or experience in statistical modelling, machine learning
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modelling, programming (MATLAB, Python, or similar), and a solid understanding of composite material behaviour are essential, with additional interest in design optimisation, advanced manufacturing, and
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Boltzmann method microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and