128 parallel-processing-bioinformatics Fellowship research jobs at Nanyang Technological University
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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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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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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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digital signal processing, control systems, and embedded AI for biological applications. Experience with AI/ML development frameworks, model deployment pipelines, and simulation environments for behavior
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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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, metabolomic and metagenomics data Large-scale clinical and molecular phenotypes data, including integrative omics studies Evaluation and application of appropriate bioinformatics/statistical techniques, as
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guidelines related to clinical and animal studies Proficiency in multi-omics data analysis, and bioinformatics, preferably preferred Excellent organizational skills, attention to detail, and the ability
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field work Expertise in metagenomic analysis Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability to work independently, meticulous
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surgery and dissection Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics