206 coding-"https:" "https:" "https:" "https:" "https:" "NanoSci" Fellowship research jobs in Singapore
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. Ability to work independently, manage deadlines, and write clean, reproducible code. Strong interest in finance research and excellent communication skills. Interested applicants should submit a cover
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laboratory in the Department of Chemical and Biomolecular Engineering (https://cde.nus.edu.sg/chbe/staff/zhu-guan-zhou/ ) pioneers advancements in new battery technology through innovations in electrode
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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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the University and with external collaborators. Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research
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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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the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and
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interpretation and communication skills Excellent scientific writing skills (manuscripts and grant applications) Knowledge in device development and coding is a plus Soft skills: self-motivated, adaptable, and a
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interpretation and communication skills Excellent scientific writing skills (manuscripts and grant applications) Knowledge in device development and coding is a plus Soft skills: self-motivated, adaptable, and a
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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