11 big-data-and-machine-learning-phd Postdoctoral positions at University of California, Merced
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Scholar must have a PhD degree in Electrical, Mechanical or Computer Engineering. Excellent written and verbal communication skills are required. Preferred qualifications Applicants are preferred to have a
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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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sequencing data. The Rube lab is an inclusive and collaborative environment that prioritizes team science. The postdoctoral scholar will have opportunities to both contribute to and lead research projects
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of the evaluations and investigations, and iii) assisting with the oversight of graduate and undergraduate assistants working on these projects. Qualifications Basic qualifications Must have a PhD in thermal science
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qualifications Must have a PhD in thermal science and engineering, or related field, and research experience in phase-change heat transfer. Strong written and verbal communication skills are required. Preferred
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of developed computer code, link to source code repository, or description of developed proprietary code (Optional) Reference requirements 3 required (contact information only) Apply link: https
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) data analysis, or (c) design and implementation of novel field and lab experimental methods. Qualifications Basic qualifications PhD in soil science, ecology, earth and environmental sciences, and
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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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wildtype fungal structures or culturing and growing them in the lab. Perform characterization tests including imaging, mechanical, and chemical testing and subsequent analysis. Analyze data to create
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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