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well as amplification of genetic material by PCR. Basic data processing tools: Excel, R, Python Bioinformatics skills to process RNA-seq and ddRDASeq: demultiplexing, quality filtering, assembly, mapping; Generate de
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- Knowledge of programming (Fortran, Python) - Previous experience with SIESTA will be a plus but it is not essential. - Previous experience with user-level High Performance Computing will be a plus but it is
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expertise in analysing complex quantitative and computational data and/or rich qualitative data. • Proficiency or skills to learn a statistical software (e.g., R, Stata, Python). • Interest in contributing
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain