90 parallel-processing-bioinformatics-"DIFFER" Fellowship positions at National University of Singapore
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Water process prediction and optimization) Posting Start Date: 10/06/2025 Job Description: Job Description The Research Staff
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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS
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microbiome or bacterial-host bioinformatics is required. Proficiency in raw data processing, taxonomical annotation, and analyses of 16s rRNA datasets (ie DADA2, MaSalin2, Random forest analyses etc
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be comprised of a Senior Research Fellow, a Bioinformatics Specialist and a Clinical Research Co-Ordinator / Clinical Research Assistant (clinical study recruitment, ethical approvals, data collection
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’ methodological skillsets. There are different models of Postdoctoral programs. CIL follows the Academic Community model, whereby fellows are part of an academic community learning and advancing not only from
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postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience and proficient in processing different types of remote sensing datasets. Experience with terrestrial
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are also welcome to apply The research fellow will work closely with Associate Professor Sandy Lim and her research team on different projects, including a funded research project on the integration
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sorting, NGS, and bioinformatics data analysis - Assist with the planning and execution of the entire project - Mentor to Research Assistant when needed Qualifications • Qualifications / Discipline: PhD in
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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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at the intersection of behavioural science, public health, and digital technologies. Key responsibilities include: • Design, develop, and optimise mHealth interventions tailored for different demographic and clinical