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, and functional genomic approaches to study the biogenesis mechanism of regulatory non-coding RNAs and elucidate their roles in tumor formation, specifically medulloblastoma and melanoma. Several
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the project leader in the research project - “Exploring a grid-like code for representing decisions in the prefrontal cortex (internal)”. He/She will be required to: (a) collect and organise relevant data
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Expertise in metagenomic analysis required scope (e.g. national codes and standards) Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability
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on machine learning Experience in time-series data analysis Proficient in coding languages, such as C, C++, Fortran, and Python Strong publication record Entry level candidates are welcome to apply The College
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Qualifications: Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. Strong coding skills in R, Stata, or other statistical software package. Good communication
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to study Long Non-Coding RNAs (lncRNAs) in Pluripotency and Differentiation. LncRNAs are an exciting class of of RNA molecules among which very few have thus far been functionally characterized in depth. We
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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-event sampling (e.g., metadynamics). • Familiarity with open-source coding practices (GitHub/GitLab). More Information Location: Kent Ridge Campus Organization: College of Design and Engineering
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The Opportunity: You will use a variety of analytical methods and coding techniques, including social computational approaches, to analyse how emotional and identity-based narratives and visuals
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, prognosis, and predictive responses to chemotherapies and targeted drugs. 2. Study the genetic and epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs