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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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data in collaboration with bioinformatics experts to assess library quality and performance. vii. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and
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experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key
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simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful. Key Competencies Strong experimental
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hydrodynamic modelling and sediment transportation. ii. Model Validation: Validation of DHI Mike Model with past historical data iii. Data Analysis: Process and analyze coastal and ocean wave data to improve
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data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing, validation and verification. Carry out risk assessment, and ensure compliance with work
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing