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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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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
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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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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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assays and bioinformatics analyses Strong problem-solving skills Ability to work independently within a collaborative research environment Team-work attitude Excellent organizational skills and attention
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any discipline of cancer research • Excellent track record of research accomplishments • Keen to embark on exciting and innovative projects in experimental and/or bioinformatics laboratories
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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is