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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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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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coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students and supporting research teams
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imaging, and NMR data acquisition/analysis. Perform bioinformatic sequence analysis to guide experimental design and correlate protein sequence features with amyloid assembly properties. Collaborate with PI
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of Biomedical Data Science, with a focus on Computational Biology, Artificial Intelligence (AI) in Biology, and Bioinformatics. We welcome candidates working in, but not limited to: AI-driven approaches
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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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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS
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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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-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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, preferably in Computer Sciences, Bioinformatics, or Life Sciences, or related field of study. Candidates with equivalent experience may also apply Able to multitask and work independently, effectively and a