62 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CESBIO" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as ANSYS package
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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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libraries, including nucleic acid extraction, amplification, and library preparation. Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling
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Management or a related field (e.g., Data Analytics, Big Data, Entrepreneurship, Asset Management, AI), preferably with extensive management experience in the hospitality and tourism business, excellent
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team members to ensure all project deliverables are met. Accumulate data from Co-PIs for quarterly, annual, or final progress reports Schedule meetings with co-PIs, collaborators on-site or off-site
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: Architect and deploy machine learning and computer vision models directly onto onboard edge devices (e.g., NVIDIA Jetson) for real-time object detection, tracking, and autonomous decision-making. Proof
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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Validation: Oversee the AM process and testing of 3DP ship hull and connector system. Data Collection and Analysis: Gather testing data during for design optimisation. Reporting and Documentation: Prepare
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of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate with experimental data Assists the PI in drafting of reports
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels