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-learning frameworks, such as PyTorch, and high-performance computing (HPC) environments. Knowledge of molecular and cellular biology, systems biology, or precision medicine. Finally, a letter of intent
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, proteomics, long-read sequencing). Familiarity with machine learning approaches, particularly artificial neural networks, and their application to biological data. Experience with workflow management systems
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-scale datasets generated in the Piazza laboratory, public structural proteomics datasets, state-of-the-art mass spectrometry infrastructure at SciLifeLab, and high-performance computing resources
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