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nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis
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of innovative machine learning methods. The Senior Research Associate will drive the direction of research within this broad area and collaborate with others in the ARC Centre of Excellence for Weather of
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, workflow managers (e.g. NextFlow, SnakeMake, etc), statistical analysis and data visualization. Familiarity with data science and machine learning. Familiarity with cellular and molecular biology, such as
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/photovoltaic-and-renewable-energy-engineering/our-research/research-activities/characterisation-defects-machine-learning Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical
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developments in scientific machine learning, which blends data-driven learning and physics-based modelling. The whole project will make a significant contribution to uncertainty quantification, and should
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Communications, e.g., beamforming, transceiver design Semantic/goal-oriented communications Machine learning-based ISAC New waveforms and multiple access schemes, e.g., NOMA, OTFS, etc. THz communications and/or
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knowledge of transport planning, transport modelling, active transport, and/or travel behaviour study. Experience with machine learning, spatial analysis, and/or software engineering would be a plus
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community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best work
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life with a strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people
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knowledge in statistics and related machine learning concepts to make complex deep learning models with 2D and 3D time series data. Possess strong computational and statistical skills, with experience in