665 parallel-processing-bioinformatics "https:" positions at Nanyang Technological University
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in Communication, Human-Computer Interaction, Information Science, Psychology, or a related field. At least 1 year of relevant experiences in doing research in a relevant field. Familiarity with social
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication
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-quality journal publications. Assist in supervising research students in the group. Job Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python
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technical writing, and consistent throughput from idea → prototype → validated results → publication-quality artifacts Job Requirements: Preferably Master in Computer Engineering, Computer
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computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To undertake any other duties
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a project officer to work
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academic partners. To perform any other duties related to the research program. Job Requirements: Preferably a Master degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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computer science, Computer Applications, Engineering or related field At least 8 years of relevant experiences in similar role / technical hands-on experience with distributed systems, cloud platforms, and real-time