5 post-doc-machine-learning Postdoctoral positions at University of California, Merced
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at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models of potentials that appear in Hamiltonians for time-dependent quantum systems. The postdoc
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for a qualified, creative, highly motivated postdoctoral scholar to conduct research at the intersection of robotics, controls, and machine learning. The successful candidate will help shape next
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in Agriculture • Machine learning models for pest and disease prediction • Crop classification using multispectral imagery • Digital twin models for farm simulation and management • Collaborate with
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excellent opportunity to work in the development of external relationships and to engage in industry-university partnerships at the cutting edge of engineering, computer and data science, technology, natural
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involved in related research projects. Qualifications Basic qualifications A Doctoral degree (or equivalent) in computer science, computer engineering, electrical engineering, or a related field. Additional