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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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. 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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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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the deployment, operation, and maintenance of seismic stations and associated equipment for field data acquisition. Develop, implement, and optimize artificial intelligence (AI) algorithms for the automatic
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interactions Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: Master qualification degree in ecology, biogeochemistry, Earth/soil science
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Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire
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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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and data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research