168 parallel-processing-bioinformatics research jobs at Nanyang Technological University
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, or other related fields. Solid Mathematical skills. Experience in implementing algorithms for machine learning and natural language processing-related applications (It would be good if the candidate can also
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on the research results. Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player
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journals such as S&P, USENIX, SIGMOD, VLDB, NeurIPS, ICML, AAAI, or ICLR. Job Requirements: A PhD degree in computer science, computer engineering, mathematics, statistics, or a related discipline with a
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably bachelor's degree in Computer Engineering, Computer
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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
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of the designed 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
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. Bachelor of Science in Chemistry Advanced knowledge of bioinformatics tools and packages, including experience in processing and analysing high-throughput sequencing data. Highly proficient in R, Python, and
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to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data
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to cutting-edge research in metabolic diseases, including obesity, chronic liver disease, and cancer metabolism. By leveraging animal disease models and bioinformatics approaches, our lab aims to unravel