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or functional genomics datasets. Strong programming skills in Python and/or R, with experience in version control (e.g., Git) Familiarity with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow
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relative to own or related projects when requested; Contributing to the Centre’s training program by teaching and tutoring on internal and external workshops (online and in person); Contributing
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learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow) applied to biomedical data. Preferred Familiarity with CRISPR-Cas9 or CRISPRi/a screening data, RNA-seq, single-cell or spatial transcriptomics
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