95 parallel-processing-bioinformatics-"Multiple" 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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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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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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; 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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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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Institutional Review Board (IRB) requirements. Oversee project teams, staff allocation, budgeting and procurement processes to support programme productivity and continuity. Prepare and coordinate reports
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emphasis on cancers that affect the Asian community in general We are looking for a highly motivated and dedicated researcher with a strong ability to manage and contribute to multiple international projects
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cluster provides shared access to state-of-the-art instrumentation across multiple imaging platforms and techniques, technical expertise, and assistance in optimal image collection and analysis
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-Computer Interaction, Health Informatics, Data Science, or a related field. • Demonstrated experience in the design and evaluation of digital health or mHealth interventions, ideally involving real-time data