130 parallel-processing-bioinformatics Fellowship positions at Nanyang Technological University
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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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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experiences in animal work, cell culture, molecular study and/or bioinformatic analysis Prior working experience in the areas of immunology or aging is preferred but not compulsory for those with good academic
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Publish research papers in top-tier journals and conferences Job Requirements: PhD degree in Electrical and Computer Engineering or Computer Science Strong publication record with papers accepted/published
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study and/or bioinformatic analysis At least 2 years of relevant experiences in academic/industrial environment, with end-to-end grants and/or project operations. Prior working experience in the areas
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experiments to investigate mechanisms relevant to gastric cancer and microbiome-related research Perform microbiome profiling and molecular analyses Perform bioinformatics and integrative multi-omics analyses
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, scalable pipelines and workflows for microbiome data processing and analysis. Stay up to date with emerging bioinformatics tools and incorporate relevant methods into ongoing research projects. Manage
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sequencing approaches (e.g. bulk RNA sequencing and single cell RNA sequencing) and associated data analysis Familiarity with bioinformatics tools and pipelines for analysis and interpretation of high
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years of relevant experiences in animal work, cell culture, molecular study and/or bioinformatic analysis Prior working experience in the areas of immunology or aging is preferred but not compulsory
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to design a neural cell implantation therapy for spinal cord injury treatment. We will achieve this goal through enhanced biological understanding of the regeneration process of nerve tissue together