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cytometry and ELISA methods. Preferred qualifications: • Experience with coding in R. • Familiarity with basic statistical methods. Please apply online at https://aprecruit.ucsf.edu/JPF05699 . Applicants
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of physical and engineering problems. Ability to program in CAD/CAM toolpath software. Ability to write device driver code and custom libraries in various OS includes but not limited to Linux and Windows
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or mammalian stem cell models. Familiarity with machine learning tools or protein structural modeling. Proficiency in coding (e.g., Python, R, or MATLAB) for data analysis. Demonstrated ability to contribute
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