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. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power systems. Experience with real-time simulation platforms, hardware-in-the-loop
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researcher and primary point of contact for the project designing, collecting, and analysing data using appropriate computational, experimental, or corpus‑based methods preparing manuscripts and contributing
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expertise in infrasound signal processing to advance our multi-sensor atmospheric observation programme. About the Role: This position is an opportunity to join an active and forward-looking research team
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
strategies, signal processing algorithms and simulation platforms for goal-oriented semantic wireless systems. Drive a high-impact ARC Discovery Project aimed at advancing sovereign telecommunications
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expertise in infrasound signal processing to advance our multi-sensor atmospheric observation programme. About the Role: This position is an opportunity to join an active and forward-looking research team
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signals over optical fibre and free-space laser links. Supported by significant ongoing investment from the Western Australian Government and the Joint Venture Universities, this is an exciting opportunity
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detection of disease biomarkers, with particular emphasis on cancer diagnostics, liquid biopsy, extracellular vesicles, nucleic acids, and point-of-care testing. The research combines advanced nanomaterials
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technologies and national security. The group is internationally recognised for its expertise in the long-distance transfer of stabilised photonic timing and communication signals over optical fibre and free
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. . You have significant experience in psychophysiological assessments, including electrophysiological signals like heart rate variability, electroencephalography and functional near infra-red spectroscopy
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We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to