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, potential or demonstrated, of international standing strong mathematical and computational skills, and experience with machine learning tools and software libraries, as well as dynamical system simulation and
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immunocytochemistry, fluorescence microscopy (including confocal microscopy and high content systems), immunoblotting, qPCR, FACS, flow cytometry, proteomics, and transcriptomics. experience in using software
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cytometry, proteomics, and transcriptomics. experience in using software for the design of plasmid DNA constructs (e.g., lentiviral or AAV backbones) for a variety of applications including over-expression of
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software tools for data analysis, such as Excel, MATLAB, Python, or similar platforms solid understanding of asset reliability, performance optimisation, and sustainability in industrial settings