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, genetics, bioinformatics, or a related field.Strong background in neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses in cell
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The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and
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, metabolomics, and bioinformatics analyses to investigate molecular interactions between diatoms and associated microorganisms. The position is part of a broader research program focused on programmable marine
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data using bioinformatics/statistical tools where appropriate. Contribute to manuscript preparation, scientific presentations, and grant proposals. Maintain accurate records of experiments and results in
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analysis. Good organisational skills, attention to detail and ability to work collaboratively. Willingness to learn grant-writing, data analysis and bioinformatics skills. Strong written and oral
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metabolomics, multivariate statistical analysis, cell cultures and in vivo experimental models, also valuing knowledge in bioinformatics, molecular biology and integration of omics data. The ability to work in
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— from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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Cancer or Molecular Biology, Genetics, Drug delivery, Bioinformatics, Biostatistics, Computational Biology, or other closely related biomedical field from an accredited University (based on funding
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communication. Additional Qualifications Experience with bioinformatics is strongly encouraged. Special Instructions Letters of recommendation are not required at the time of application; however, letters will be collected
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./Ph.D. in areas such as biostatistics/bioinformatics, implementation science, medicine, health economics, social work, sociology, clinical psychology, or epidemiology or related fields. Expertise in