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for testing. Performs advanced testing procedures and performs analyses of data. Prepares reports. Makes uses of a variety of specialized equipment typical within area of specialization. May contribute
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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to accelerate discovery in a wide variety of fields to enable effective analysis of large, complex data sets. Overall, IU Indianapolis research contributes significantly to the Indiana State economy. Review
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training and research around the development and delivery of digital health and care interventions, digital research methodology and ‘big data’ analysis Research could include the use of Artificial
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mathematical theory and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive
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. Position Type Full-Time/Regular The Slone Epidemiology Center, a multidisciplinary research organization, is seeking a mature, detail-oriented individual to support data analytics for large on-going
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 5 hours ago
including case-based instruction, large-and small-group discussion, clinical, lecture, demonstration, and simulation. The positions would also include participation in the faculty practice clinic
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teams, in addition to addressing how you meet the listed qualifications of the position Misc / Additional (Optional) Reference requirements 3 required (contact information only) Apply link: https://apol
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The Pathology Department is seeking a Biostatistician who will analyze large scale, longitudinal data. Analyzed data is abstracted and extracted from electronic health records, laboratory and pharmacy databases
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. An applicant is required to have a Doctoral Degree in Hospitality and Tourism Management or a related field (e.g., Data Analytics, Big Data, Entrepreneurship, Asset Management, AI), preferably with extensive