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microbiome or bacterial-host bioinformatics is required. Proficiency in raw data processing, taxonomical annotation, and analyses of 16s rRNA datasets (ie DADA2, MaSalin2, Random forest analyses etc
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the Asian School of the Environment (ASE) and the Earth Observatory of Singapore (EOS) to push forward the use of phase field models in earthquake rupture dynamics and fluid-driven fracture processes
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these codes in C++ or Fortran Adopting these codes for multiple-CPU and/or GPU platforms via parallelization schemes. Validating these codes via canonical and real-world examples. Job Requirements: PhD in
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: Design, plan, and execute experiments involving NGS, including sample preparation, sequencing runs, and data analysis. Apply bioinformatics tools and software for the analysis and interpretation of NGS
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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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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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, early life antibiotic use, ultra-processed foods, and microbiome changes. The research team also develops machine learning models to predict cancer risk from longitudinal medical data. For more details
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and electrochemical characterisation equipment. At the same time support for the operation of a pouch cell prototyping line by the research team is expected. The position will be open from 1 September
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epidemiology, bioinformatics, computational biology). Candidates who have successfully defended their thesis or dissertation are welcome, subject to evaluation on a case-by-case basis. Experience analyzing large
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closely with local Singapore and regional partners to conduct single cell transcriptomics, host genomics, BCR sequencing, and bioinformatic anlaysis to rapidly screen and identify antigen-specific