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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*STAR) are
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. Programming & Software Development: Proficiency in Python, PyTorch, JAX, or other ML frameworks Computing: Some experience with large-scale datasets, parallel computing, and GPUs/TPUs. Algorithm Development
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faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based
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to conduct single cell transcriptomics, host genomics, BCR sequencing, and bioinformatic anlaysis to rapidly screen and identify antigen-specific monoclonal antibodies. Support research in sero-surveillance
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RCULA certification preferred Prior research experience with bioinformatics is advantageous Entry level candidates are welcome to apply We regret to inform that only shortlisted candidates will be
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requirements will be considered as an advantage: • Experience with large-scale cohorts or biobanks. • Familiarity with imputation, genetic association testing and multi-omics processing and pipelines
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of experimental research required by the research component of the project. Perform comprehensive bioinformatics analyses of single-cell RNA-seq, bulk RNA-seq, and other high-dimensional omics datasets. Design and
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bioinformatics skills. Strong written and oral communication skills. Key performance indicators (KPIs) Contribution to peer-reviewed publications and conference presentations. Successful completion of assigned