91 parallel-processing-bioinformatics Fellowship research jobs 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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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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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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contributing to impactful research in the field of aquaculture, bioinformatics and related life sciences Job Description: A/Prof.s Ajay Mathuru and Yih-Cherng Liou (NUS), along with Dr. Caroline Wee (IMCB, A
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contributing to impactful research in the field of aquaculture, bioinformatics and related life sciences Job Description: A/Prof.s Ajay Mathuru and Yih-Cherng Liou (NUS), along with Dr. Caroline Wee (IMCB, A
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techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical tools where appropriate
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
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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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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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://discovery.nus.edu.sg/5460-catherine-w-m-ong Main Duties and Responsibilities The Research Fellow will design and execute experiments in M. tuberculosis infection of mice, processing of samples, and associated readouts