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Field
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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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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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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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— 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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./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
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data analysis, contributing to research dissemination, and mentoring lab members along the way. With a combination of wet lab techniques and cutting-edge bioinformatics tools, you’ll explore novel
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points; 3 to 4 scientific outputs: 3 points; More than 4 scientific outputs: 4 points.) d) Additional training/experience in relevant laboratory techniques, data analysis or bioinformatics (0 to 4 points
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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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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 Biology