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developing quantitative evaluation methodologies or performance metrics. Strong programming skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face). Experience with optimization algorithms
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. Understanding of navigation framework and path optimization algorithms. 4. Proven track record of peer-reviewed publications. Appointed candidates will support research planning and execution, including
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sensor installation, data acquisition, camera system development, edge device management, backend communications, and software architecture integration as core focus. • Work on mechanistic empirical
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ingestion and the RAG-based LLM reasoning engine. Key responsibilities include designing the algorithms, collaborating closely with multidisciplinary teams, and leading groups of student interns.
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. Formulate detailed R&D experimental plans and carry out system setup, signal acquisition and processing, as well as algorithm design, implementation, and optimization. Assist the team in the establishment
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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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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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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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cases, data requirements, model outputs, and deployment workflows for the medical device platform. - Design and implement reliable data acquisition pipelines from medical device hardware, sensors, imaging