The Arnaout Lab at the University of California, San Francisco, is looking for creative, hardworking postdoctoral fellows who are excited about applying computational techniques including neural networks, generative AI, computer vision, algorithms, modeling, and signal processing for multi-dimensional datasets, to ask and answer important questions in computational imaging for translational medicine. 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, computer graphics, physics simulation, applied mathematics, engineering, or related field. Candidates should be fluent in Python, including tools such as Tensorflow or PyTorch, Pandas, Scikit, Slicer/Blender/OpenGL, as well as tools for data visualization (e.g. d3.js, R, Matlab, pylab, seaborn, etc). Familiarity with modeling and computing in the cloud/on HPC is a plus.
Application is rolling, open now (Sept 30 is the expiration date, not the due date).
Email [Please click the Apply button for the link or address] with your CV and brief letter of interest.
Tagged as: Computer Science, Data Science, Engineering, Mathematics, Physics
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ApplyPlease send your application to rima.arnaout@ucsf.edu
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