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Job Description Highly motivated and creative postdoctoral candidates are sought to work at the Yang Zhang Lab, Cancer Science Institute of Singapore, School of Computing, and Yong Loo Lin School of Medicine, at National University of Singapore. Candidates, who are interested in artificial...
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is mandatory Experience with cell culture and cell-based assays is required Proficient with bioinformatics and biophysical characterization techniques More Information Location: Kent Ridge Campus
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or Bioinformatics; Have at least 2 years’ experience with designing and troubleshooting new experiments independently, as well as analyzing the results in totality and presenting it in a peer-reviewed manuscript; Be
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without prior experience. Ideal candidates will possess expertise in artificial intelligence (AI), machine learning (ML), bioinformatics, and biology. We strongly encourage applicants with a demonstrated
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Qualifications • Masters in bioinformatics, statistics, computer science or related fields with good machine learning skills and software development skills • Hands-on experience on development of AI models in
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Bioinformatics. This is an exciting opportunity to join a dynamic team focused on leveraging cutting-edge technology to advance cancer genomics research and precision oncology. Responsibilities Collaborate with
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performance and funding availability. Qualifications • Qualifications / Discipline: BSc (hons) required, and preferably a MSc • Skills: Competence in using R software for bioinformatic analysis
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the application of advanced bioinformatics techniques. The ideal candidate will have expertise in quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), transcriptome-wide association
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cells. The projects will utilize protein chemistry, genetic characterization, immunological assays, advanced flow cytometry, clinical specimen processing, bioinformatics and other techniques. As such
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, will Build and optimize various components of this platform; and Provide on-demand bioinformatics support for CSI/NUS investigators. Candidates will have opportunities to apply their biological and