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administrators to create and promote content about the research and activities of IDMxS, related to topics including molecular analytics, material science, chemistry, bioinformatics, and nanomaterials. Key
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techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical tools where appropriate
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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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-acylation) using mutagenesis, biochemistry, microscopy, and related assays. Contribute to bioinformatic analyses of protein structure, dynamics, and genomic data. Implement SOPs, follow biosafety guidelines
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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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molecular and cellular biology techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
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geothermal microbial ecology field work Expertise in metagenomic analysis Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability to work
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machine learning, artificial intelligence, and bioinformatics techniques. Specifically, he or she will be responsible for curating and organising existing clinical databases, assist with the deployment and
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to work independently and manage multiple programs in parallel. Detail-oriented, with a commitment to quality assurance and enhancing the learner/researcher experience. More Information Location: Kent Ridge