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technologies (lipidomics, proteomics), cell biology, molecular biology and bioinformatics to clarify the mechanisms of key molecular interactions, and support the development of early diagnostic and intervention
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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is
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: Laboratory safety, purchase and bookkeeping Field Survey of Wood Structure Decay DNA Isolation and Quality Control Metagenomic Sequencing Bioinformatics Analysis Cultivation and Isolation of pure strains In
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bioinformatics within the Microbiome Medicine Research Programme, in line with the overarching research strategy of Lee Kong Chian School of Medicine, in addition to any other duties as assigned by the Vice Dean
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accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data to support precision
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logistics, and data organization. Perform first-pass data handling and interpretation (with lab bioinformatics support), including QC tracking, summary plots, and integration of multimodal results into clear
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epidemiology, bioinformatics, computational biology). Candidates who have successfully defended their thesis or dissertation are welcome, subject to evaluation on a case-by-case basis. Experience analyzing large
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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
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on College matters. Track budgets, process claims, manage procurement matters, and maintain proper financial records in line with University policies. Support interdisciplinary events, partnerships, and
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Procedures (SOPs) to standardize workflows. Support faculty and staff in adapting to new processes and systems through change management strategies and activities. Collaborate with internal teams to ensure