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Title: Position Type: Tenured/Tenure-track faculty Position Location: Guangzhou, Guangdong 511436, China [map ] Subject Areas: Mathematics; Statistics; Artificial Intelligence Appl Deadline: 2026/12/01 04
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The School of Engineering Mathematics and Technology at the University of Bristol is seeking to appoint a Professor in Artificial Intelligence. The successful candidate will join us at an exciting
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
Temporary Research Assistant--Artificial Intelligence & Autonomous Systems Job Title Temp Position Type EHRA Temporary Job Category Unspecified FLSA for Position Nonexempt Brief Summary of Work for this
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Insights plus others to design, implement and maintain the optimal architecture needed to deliver the data intelligence platform for the University. This work will include establishing data pipelines
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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The Faculty of Law invites applications for an assistant professorship in copyright law, cultural diversity and Artificial Intelligence (AI) law starting on 1 August 2026 or as soon as possible
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. Lecturer I/II in Artificial Intelligence & Business Intelligence (24250169) AI for Business and Financial Markets Big Data and Business Analytics FinTech Strategy The appointee is required to (i) perform
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you already have: Bachelor's degree or an equivalent combination of education and work experience. 2.5 or more years of experience working as a business intelligence analyst, data analyst, or in a
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AI, Machine Learning and/or Data Science, most likely in two or more of the following subject areas: Artificial intelligence – both technical understanding and user application aspects Machine Learning
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to extract far more information from EM measurements than ever before, creating new opportunities for...