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for real-world deployment. Key Responsibilities: Develop algorithms for DAS signal processing, wavefield analysis, feature extraction, and interpretation across infrastructure monitoring, urban geophysics
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monitoring including geohazard detection such as sinkhole and subsidence. Key Responsibilities: Develop algorithms for passive seismology, seismic noise analysis, geophysical imaging, and seismic source
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to the development of data algorithms and specialized computer software for identifying and classifying components of biological systems (such as DNA and protein sequences). Support the creation and maintenance
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identification through lab-scale and field experiments. Key Responsibilities: Develop algorithms for guided-wave analysis, response analysis, sensor fusion, and system identification using distributed and multi
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supply chain processes, including transport operations, fleet management, and operational readiness frameworks Model & Algorithm Development: Design, build and implement optimisation models for various
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
public thematically organised into four strands: Social Inequalities; Gender, Sexuality, Race & Health; Environment, Nature & Conservation; Media, Data Cultures & Algorithms. The College/Division The ANU
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error-correcting codes, establishing fundamental performance limits, and building practical decoding algorithms and architectures. Your research will sit at the interface between the classical and quantum
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of underlying 3D scene representations. This requires the designing and developing of specialized computer-generated hologram (CGH) algorithms, modeling the propagation of incoherent light through space
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contribute to the design, implementation, and evaluation of algorithms and systems, and will support research experiments, software infrastructure, benchmarking, documentation, and project coordination
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning