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with e-CALLISTO instruments or Software-Defined Radios (SDRs). · Familiarity with machine learning for astrophysical data analysis. · Knowledge of solar radio data pipelines and event classification
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sequencing will be highly valued. Interest in applied genetic engineering and synthetic biology. Curiosity and motivation to learn new techniques and protocols. Good time management and communication skills
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