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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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Are you interested in (re)entering biotech research? This position supports a non-linear career path with a focus on implementing process analytical technology into bioprocesses. Job description
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. The appointee will conduct their analytical work in the Laboratory for Conservation and Science at HKU’s University Museum and Art Gallery, as well as at the Conservation Office of the LCSD, on Chinese paintings
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original research, with strong publication record. This position is required to design new cybersecurity solutions (e.g., architectures) and characterize their properties, both of which demand analytical
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analytics, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical
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, together with research experience in at least one class of modern generative models, are particularly encouraged to apply. In addition to conducting research, the successful candidate will teach two courses
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Scholar must be an expert communicator, highly organized, and possess strong writing, analytic, and grantsmanship skills. The successful candidate will work with clinically annotated tumor cohorts, clinical
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applicants would have strong analytical, research and communication (oral and written) skills and demonstrated capacity for critical thinking and learning both independently and collaboratively. Fellows should
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candidates will have experience in artificial intelligence, deep learning or decision support applied to RF sensing, wireless communications and signal processing. A strong background in multimodal data