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sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation of cellular response mechanisms, and close collaboration with
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-temperature conditions. Proficiency with data analysis tools and scientific programming languages (e.g., Python, MATLAB, LabVIEW). Commitment to safe laboratory practices and familiarity with experimental risk management
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outputs (e.g., peer reviewed journal publications, conference presentations, technical reports) in relevant fields. Data Analysis and Interpretation: High-level ability to analyse and interpret experimental
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