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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
pending funding and performance. Minimum Education and Experience Requirements PhD in Computer Science, Computing, Statistics or Data Science, or related disciplines Required Qualifications, Competencies
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to your expertise. What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented
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and Bioinformatics Group. For more information about the group, please refer to https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/intelligent-systems/pattern-recognition-bioinformatics For more
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econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management. As a member of the
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Minimum education and/or experience required: PhD obtained less than 3 years before date of hire in Computer Science, in one of the following areas: Data Science, Artificial Intelligence, or related field
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(R3) Country Morocco Application Deadline 11 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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(R3) Country Morocco Application Deadline 11 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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seeking applications for up to 1-2 Temporary (through August 2026) full-time Post-Doctoral Associate (9546 Post-Doctoral Associate) positions. For more info on the division, visit http://www.sph.umn.edu
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)", under the following conditions: 1. Scientific Area: Computer Engineering 2. Admission requirements: - The candidate must hold a PhD in Computer Engineering, or related scientific areas, obtained less than
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development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key