The Arnaout Lab at the University of California, San Francisco, is looking for postdoctoral fellows who are excited about applying computational techniques including neural networks, computer vision, algorithms, modeling, and signal processing for 2D and 3D datasets, to ask and answer important questions in computational imaging for clinical care. Postdocs will work with both clinicians and data scientists, with access to multi-modal clinical data across the institution. Candidates will have obtained a PhD degree or equivalent in computer science, engineering, computer graphics, applied mathematics, physics simulation, or related field. Candidates should be fluent in Python, including tools such as Tensorflow, Keras, or PyTorch, Pandas, Scikit, OpenGL, as well as tools for data visualization (e.g. d3.js, R, Matlab, pylab, seaborn, etc). Familiarity with computing in the cloud/on HPC is a plus.
Tagged as: Computer Science, Engineering, Mathematics, Physics
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