127 distributed-algorithm-"Meta"-"Meta"-"Meta" positions at Nanyang Technological University in Singapore
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of the Environment (ASE), and the School of Electrical and Electronic Engineering (EEE), helping to develop algorithms and systems for disaster mapping and climate change in collaboration with space industries and
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Information Engineering and Media to develop Machine Learning and AI algorithms for real-world and media-related applications. The Research Associate/Research Fellow is also expected to support teaching
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institutions and expertise in secure distributed systems will be highly valued, enabling the candidate to bring transferable knowledge to address the security challenges in emerging blockchain ecosystems and
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algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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academic experience in one or more of the following, or closely related, areas: AI Ethics and Responsible AI Software Engineering Programming Fundamentals Algorithms and Problem Solving Software Design and
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of the developed algorithms Overseeing project budget and coordinating the procurement and maintenance of equipment Providing mentorship and academic guidance to students Preparing and compiling reports pertaining
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Responsibilities: To assist in developing multimodal algorithms that can detect early signs of depression from speech and text information. To assist in designing, developing, and acquiring voice and text corpus
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goals, formulating contact-rich robot manipulation as a planning problem using haptic-based algorithms Coordinate with the extended research team in hands-on experiments for contact-rich manipulation
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innovative ideas to enhance existing algorithms and frameworks. Analyse and interpret findings, ensuring scientific rigour and practical relevance. Prepare and submit manuscripts to leading conferences and
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EmoRoom (Emotion + Classroom), an interactive visual analytics system to analyze and summarize student emotions from classroom videos, using emotion recognition algorithms and intuitive visualizations