35 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" uni jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite applications
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that are relevant to industry demands while working on research projects in SIT. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap
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. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of contradiction scores. Job
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to determine the success of the prototype, Propose and develop trials and experiments acceptance test steps/procedures, Process and analyse the data gathered from the trial and experiments. Prepare the final
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for maritime industry in Singapore and beyond. The work package WP2.4 in FSSD will conduct research in the areas of autonomous system dynamic modeling, simulation, testing, data and video analytics, machine
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sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in
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, minutes, and programme documentation. Maintain programme documentation and information repositories. Resource management Manage procurement processes for programme-related services, equipment, and
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operations in PDD. Coordinate development of policies and agreements related to robot certification, data sharing, safety compliance, and cybersecurity standards. Support programme steering committees by
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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