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. Knowledge of inverse problems, image reconstruction, or signal processing. Experience with algorithm development for noisy, sparse, or large-scale datasets. Demonstrated ability to work collaboratively with
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Job Description The postdoc will focus on gaining new insight into how we can use solid earth deformation from permanent GNSS stations in Greenland to learn more about climate change. The research
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functional inversion. Additional applications are possible on quasi-exact nonadiabatic nuclear dynamics simulations using tensor network states (ML-MCTDH) of vibronic coupling models. Of particular interest
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-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
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observing systems Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available at the Department of Geosciences. Starting date is preferably no later than 01
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potentially geophysics (inversion) to develop new exploration targeting methods. These will be designed to make the most of the excellent outcrop conditions in Saudi Arabia, which means that a particular focus
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, use of microscopes, data acquisition, inverse problems in imaging, optimization methods and image estimation and in particular knowledge in methods for super resolution structured illumination
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R240260 Posting Link https://www.ubjobs.buffalo.edu/postings/54003 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information
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of linear algebra and numerical optimization Understanding of statistical modeling and inverse problems is desirable Experience with programming languages like Python, MATLAB, or C++ Joy in dealing with
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning