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academic goals with mutual respect and shared inquiry. The position supports research on forecasting agricultural production and yields using geospatial data, machine learning, and ground-based measurements
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consistency outside the training domain. This PhD research is envisioned to result in a breakthrough in the application of machine learning methods to fire engineering problems, by ensuring compatibility with
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final budgetary approval, at the Rank of Assistant Professor. Mount Royal’s Faculty of Science and Technology offers Bachelor’s Degrees in Biology, Chemistry, Computer Science, Computer Information
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vast amounts of rich, complex data, unlocking their insights requires cutting-edge AI and machine learning (ML) techniques. Meanwhile, although artificial neural networks (ANNs) have powered recent AI
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 21 days ago
engineering will be considered, particular emphasis is on computer systems and design aspects that enable real-world AI applications, including hardware-software co-design for machine learning, learning-enabled
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image
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, HNC/HND, BEng, MEng, PhD) in engineering or related fields, combined with significant practical production machining experience and ability to meet deadlines. Essential Application/interview Expertise
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, and/or service, to the multiplicity and excellence of the academic community. Required Qualifications* This position requires a PhD or MD/PhD degree in Electrical, Biomedical or Computer Engineering
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administration and organisation. We are looking for a/an Senior Scientist in Experimental Quantum Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 40 | Collective bargaining agreement
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. Opportunity: Job Description We are currently hiring adjunct faculty to teach AERO 309- Aerodynamic Performance of Flight Vehicles. Course Description This course includes a history of atmospheric flight