117 parallel-processing-bioinformatics Fellowship positions at Nanyang Technological University in Singapore
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sustainability. For more details, please view https://www.ntu.edu.sg/ase . We are looking for a Research Fellow to carry out bioinformatic analysis of marine metagenomes from Singapore. The role will focus
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Professor Joanne Ngeow. The Senior Research Fellow, Bioinformatics will play a key role in analyzing large-scale genomic and clinical datasets to uncover genetic factors contributing to cancer predisposition
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and testing, process modelling, data processing and reporting, progress report preparation, etc. Journal paper publication. Assistance in research proposal preparation, etc. Assistance in mentoring
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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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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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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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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing