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(Space/Electric Propulsion) Position Details Position Description The William E. Boeing Department of Aeronautics & Astronautics at the University of Washington seeks highly motivated Postdoctoral Scholars
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record, and available funding. Education Requirement: A PhD degree (or about to complete) in machine learning, or a closely related field, is required. Required Qualifications: Practical experience in
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collected through ongoing SCEC programs. This data will support the postdoc's work developing and deploying multimodal models to improve the iFIND tool, extending its current text-based approach. Primary
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. Certificates/Credentials/Licenses PhD in Biomedical Science, Immunology, Regenerative Medicine, Biology of Aging, or a related field. Computer Skills Basic computing skills Supervisory Responsibilities
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Mechanical, Aerospace or Electrical Engineering, or other related fields specializing in the area of machine learning and dynamical modeling, excellent problem-solving skills as well as good oral and written
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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appreciate every application, the high volume of interest means we can only follow up with those whose backgrounds match our current project needs. If you haven't heard back within two weeks, thank you
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data
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candidate who has the ability to synthesize hybrid materials and organic linkers, perform conductivity measurements, perform spectroscopy measurements, and perform X-ray diffraction analysis. The candidate