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areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with
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methodologies. Proven ability to think interdisciplinary and work in collaborative teams, e.g. (but not limited to) molecular biology-clinical, bioinformatics-biology Knowledge of basic microscopy and flow
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