189 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Fellowship positions in Singapore
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cellular models. Proven track record in coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students
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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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with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g., in R, MATLAB, Python). Experience with research project management. Experience with supervising research staff and students
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with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g., in R, MATLAB, Python). Experience with research project management. Experience with supervising research staff and students
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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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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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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
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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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and imaging data. Experience working with human post-mortem tissue to corroborate experimental findings is highly desirable, as is competence in computational biology through coding skills tailored