197 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" "Dr" Fellowship positions in Singapore
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the supervision of Dr. Qiao FAN. Why Join Us? Access to cutting-edge datasets, a collaborative research ecosystem, and high-performance computing. Opportunities for career growth, international collaborations, and
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pathogenesis, tissue regeneration, and function. We seek to recruit a Postdoctoral Research Fellow to work on a collaborative project between Dr Yin Loon Lee, MBI co-PI, at the Agency for Science, Technology and
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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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design, writing, teaching and examination, publication strategies, supervision, and enhancing methodological skills. The program is directed by Dr. Nilufer Oral, Director of CIL and member of
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count data, offering a rare opportunity for applied research and experimentation. The postdoctoral research fellow will be supervised by the principal investigator Dr. Adrian Chong from the Department
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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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approached for their letter(s). Incomplete applications will not be reviewed. Inquiries about the position may be directed to Dr Kokil Jaidka at jaidka@nus.edu.sg . More Information Location: Kent Ridge Campus
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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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at the National University of Singapore (NUS) is inviting applications for a two-year postdoctoral fellowship. The postdoctoral fellow will work with Principal Investigator, Dr. Huang Yanjie 黃彥傑 (Presidential Young
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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