175 parallel-processing-bioinformatics research jobs at Nanyang Technological University
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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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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
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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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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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Strong foundation in CFD, Programming proficiency such as Python, AI/ML techniques, Experience with parallel computing on CPU/GPU cluster, use of CUDA, MPI is a plus. Experience Experience with open-source
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applications. Key Competencies and Requirements: Bachelor or Master degree in Bioinformatics, Computational Biology, Data Science Proficiency in Python, R, or other data science languages Hands on experience
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gnotobiotic studies and microbiome analysis/bioinformatics. Key Competencies/Requirements: Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record Lead
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Responsibilities: Development of design rules for 3D printed parts that are fabricated by various additive manufacturing (AM) and hybrid manufacturing processes. Development of analytic models, simulation, and
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of design rules for 3D printed parts that are fabricated by various additive manufacturing (AM) and hybrid manufacturing processes. Development of analytic models, simulation, and optimization for the AM