193 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions in Singapore
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insights from cutting-edge clinical and translational research. More information on the Department’s research portfolio may be obtained from https://medicine.nus.edu.sg/obgyn/. The Core Support Faculty will
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function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/sbs
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Processes Multi-Location Trial Evaluations Further Value Chain Assessment and Development Qualifications PhD in Biological Sciences or Molecular Biology/ Biochemicals Skills: Able to code in R Perform
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with stakeholders to translate requirements into AI specifications and deliverables. Mentor research assistants and student project members; review code, support experimentation, and enforce good
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harmonisation, and model generalisability. • Maintain documentation, computational workflows, and reproducible code repositories. Project Management & Collaboration • Work collaboratively with clinicians, data
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coding in bash and R/Python Experience in creating and maintaining Nextflow pipelines. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable
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coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer
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Vo Dat Nguyen Host School : CCEB Email: datnguyen.vo@ntu.edu.sg Google Scholar: https://scholar.google.com/citations?user=6DpchCQAAAAJ&hl=en Dr. Nguyen’s research interests encompass mathematical
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in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial