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and acquire spectral data Perform Raman spectral data analysis using machine learning algorithms Work with DiSTAP plant biology collaborators, training researchers in spectrosocpy Work with local
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preprocessing, analysis, visualisation, and model interpretation, leveraging baseline and longitudinal datasets from Singapore and Southeast Asian cohorts. Manage and coordinate multiple research workstreams
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reinforcement learning, deep learning, generative AI, multimodal AI, statistical modeling, and network analysis. Preferred experience in the following areas: Recommendation System, LLM alignment, LLM agent system
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of the acoustic metamaterials, using a variety of ultrasonic excitation modalities. 4. Work closely with clinical partners to support protocol development, data acquisition, and analysis for pilot studies and
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systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart
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, laboratory experimentation, and data-driven analysis. The successful candidate will support ongoing and emerging research projects, collaborate with interdisciplinary teams, and help strengthen NTU’s
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, and collaboration with foundry engineers. Participate in electronic and optoelectronic device testing, including measurement setup development, data acquisition, and analysis of device- and circuit
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: The measurement, reporting, and analysis of an organisation's financial performance alongside its environmental, social, and governance (ESG) and carbon footprint. Integrating traditional financial accounting
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ultrasonic RF data from wearable ultrasound devices using advanced beamforming techniques. Develop image reconstruction algorithm and investigate using time series ultrasound image analysis for continuous
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, protection of human research subjects, vulnerable populations, informed consent topics, data and safety monitoring. Strong statistical analysis and programming skills (e.g., Python, R, or equivalent