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background in Chemistry or Biology to work on nucleic acid structure and therapeutics. Key Responsibilities: Synthetic chemistry Cell Biology Bioinformatics analysis Engage and collaborate with multi
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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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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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functional assays (e.g., TEER, immunofluorescence, gene expression analysis) on ALI and organoid systems. Collaborate with molecular biology and bioinformatics teams for downstream analysis (e.g
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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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is a plus. Track record of research publications in top-tier venues in AI, aquaculture, bioinformatics, or environmental monitoring is strongly preferred. Strong analytical and problem-solving
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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