114 parallel-processing-bioinformatics Fellowship research jobs at Nanyang Technological University
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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and thermal-aware design techniques for embedded systems. Contribute to research outputs and support timely completion of project milestones. Job Requirements: Preferably PhD in Computer Engineering
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with teaching, and research event arrangements Job Requirements: Applicants must possess PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. In-depth knowledge
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and technological disclosures writing. Job Requirements: PhD in Computer science, Computer engineering, or related field. Experience in privacy-preserving techniques’ research and implementation. Strong
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. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in computer engineering, Computer
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scalable system frameworks capable of real-time data processing, distributed decision-making, and seamless integration with operational infrastructures. Design and deploy robust, secure interfaces
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Assist with administrative work, teaching, and research event arrangements Job Requirements: Preferably PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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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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areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body
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Fellow to lead a project titled Closed-Loop Advanced Manufacturing Process (c-LAMP) under NTU. The role will focus on developing a modularized and energy-efficient treatment process, ie. electrochemical