221 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions in United Arab Emirates
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experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research
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Description The Digital Heritage AI Project Cluster, housed within the newly established Center for Interdisciplinary Data Science at New York University Abu Dhabi, invites applications for a
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competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived models and data science ideas. Applicants must have received a PhD in
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of cyber security. Applicants must have a BSc with any level of experience, or MSc with less than 5 years of experience, in Computer Engineering or related field. Responsibilities of the Position: Conduct
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policies, new club approvals, maintain accurate club and leadership data, and manage budget processes and data inputs. Coordinate club fairs, leadership training sessions, and ongoing support for club
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motivated Senior Scientists to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing Artificial Intelligence (AI) and network data science algorithms
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motivated Postdoctoral Associates to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing Artificial Intelligence (AI) and network data science
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Description We invite applications for a postdoctoral position in database systems with a strong theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data