92 phd-image-processing Postdoctoral positions at Conservatorio di Musica "Santa Cecilia"
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(PhD, MD, or equivalent) conferred by the start date. Proven research and/or professional experience in machine learning and/or natural language processing, with a preference for prior experience working
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faculty, PhD students and researchers. The ideal candidate will have earned a Ph.D. in applied science and engineering discipline, with demonstrated expertise in a complementary area (e.g., a Ph.D. in
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stakeholders and objectives. Required Qualifications: Applicants must have received a PhD from an accredited university before the appointment start date. Demonstrates excellent written and verbal communication
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presentations). Evidence of their contributions to their current research communities. Track record of mentoring more junior scholars. Required Qualifications: PhD in computer science, electrical engineering
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applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics
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additional activities or projects within the Centre. Job requirements The ideal candidate must have the following requirements: PhD in Physics or Engineering; A track record of high impact in the quantum
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at UCSC, Rutgers University (RU), and North Carolina State University (NCSU). The goal of the project is to develop a prototype ocean analysis-forecast system for the U.S. east coast extending from the Gulf
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imaging with the James Webb Space Telescope, variability monitoring of substellar companions, stellar obliquities, and observations of circumplanetary disks. Applicants with experience in any
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(OIR) image analysis, OIR spectroscopy, sub/millimeter/radio astronomy, or SED fitting may be particularly well suited for the position(s). The department is especially interested in candidates who can
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skills, expertise, and perspectives necessary to design, conduct, sustain, and disseminate public impact research. We encourage applications from individuals from a broad diversity of PhD-granting