162 parallel-processing-bioinformatics 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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Job Description Job Alerts Link Apply now Job Title: Research Assistant (Dept of Surgery) Posting Start Date: 21/03/2025 Job Description: Job Description The National University of Singapore invites
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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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. Qualifications Master’s Degree or equivalent in Precision Medicine, Biotechnology, or Life Sciences/Biomedical Sciences. Strong knowledge of molecular biology, genomics, bioinformatics, and relevant clinical
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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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, with a self-driven and proactive attitude and willingness to learn new skills. Experience in bioinformatics, particularly with Python or R programming, is a plus. Remuneration will be commensurate with
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; Assessment of carbon pricing and carbon markets. The above list is not exhaustive, moreover, at any given point in time the institute undertakes multiple projects in parallel and opportunity will exist
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reviewed • Understand the product thoroughly; Analyse, design and develop functionalities based on product requirements • Work with researchers to implement and develop parallel and distributed systems