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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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parallel projects. Integrity and discretion when handling confidential information. Proficient in basic photography, Microsoft Office and Excel, Adobe Premium Pro, InDesign, Illustrator and Content
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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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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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field (e.g., biological sciences, biochemistry, molecular biology, genetics, bioinformatics, or related disciplines). Have a strong academic track record, including high-quality publications in top-tier
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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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bioinformatics skills. Strong written and oral communication skills. Key performance indicators (KPIs) Contribution to peer-reviewed publications and conference presentations. Successful completion of assigned
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good understanding of the physics of scattering and antenna radiation Programming experience in C/C++ is necessary while experience in parallel and GPU computing is most desired More Information Location
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technologies (lipidomics, proteomics), cell biology, molecular biology and bioinformatics to clarify the mechanisms of key molecular interactions, and support the development of early diagnostic and intervention
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will be able to: - Design and perform proteomics experiments (eg, TMT, DIA, DDA) - Develop and optimize sample preparation workflows - Perform operation, maintenance and data acquisition on high