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motivated and has the ability to work independently as well as in a collaborative environment. Experience working with mouse models is a plus. The qualified candidate has the opportunity to be supported by a
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considered an asset Training and experience in quantitative empirical methods Good command of multivariate and complex statistical methods International publications in peer-reviewed journals and / or book
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, and schools, our diverse community collaborates closely with industry, government, and academia to address complex issues relevant to Asia and the world. Researchers in our faculties and over 40
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-complexity domains encode conformational preferences and give rise to condensates with specific emergent properties (e.g., Martin et al. Science 2020, Bremer et al. Nat Chem 2022, Farag et al. Nat Commun 2023
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-complexity domains encode conformational preferences and give rise to condensates with specific emergent properties (e.g., Martin et al. Science 2020, Bremer et al. Nat Chem 2022, Farag et al. Nat Commun 2023
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, single-cell sequencing, preclinical modeling, and epigenetic profiling. In addition to designing and performing experiments, the fellow will be expected to coordinate collaborations and prepare manuscripts
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, biochemistry, cell biology, neuroscience, cancer biology, metabolism, stem cell biology, and animal models. Application instructions To apply, please send a cover letter, curriculum vitae, and contact
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transcriptomics and genomics datasets. The goal is to identify molecular and spatial signatures of disease progression both in human samples and in experimental models of diabetes. Qualifications: PhD in
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Python, for processing and interpreting complex proteomics data Familiarity with proteomics software for data analysis, visualization, and management Experience with biological samples (e.g., FFPE, plasma
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and in vivo model systems, applying multiple omics methods. You will be working with clinical samples, method development and several molecular biology techniques, especially PCR and sequencing as