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explore advanced AI-driven approaches such as transfer learning, active learning, and hybrid AI models, ensuring robust feature extraction and predictive capabilities. Regarding the selection procedure: A
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invites applications for a full-time, Non-Tenure Teaching Track, Assistant Professor position with a specialization in Generative AI, Large Language Models (LLMs), and Deep Learning. We seek a dynamic
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digital transformation initiatives that power our entire organization. With cutting-edge platforms like Workday and UKG at the core, the team is shaping the future of how business processes and technology
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. Machine Learning and Artificial Intelligence: Experience in applying ML and AI techniques to engineering. This includes data-driven modeling, pattern recognition, predictive maintenance, and intelligent
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Researcher in Structural Analysis for 3D Concrete Printing to join our R&D and Engineering team in Barcelona (Spain). The researcher will play a key role in the design, modelling, and structural validation
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of Ohio. At UC, next is all of us. Learn more at uc.edu. UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and
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. Job requirements Need to have: MSc in pavement engineering, material science, organic chemistry or a similar area. Demonstrable experience with testing and/or modelling (preferred) of bitumen, asphalt
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-Nov-25 Location: Chapel Hill, North Carolina Categories: Academic/Faculty Engineering Internal Number: 308705
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technology-driven business continuity and disaster recovery planning and local cybersecurity efforts. Create and track technology budgets and report on cost of system ownership. Supervisory Responsibilities
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-driven/model-based AI methods to analyse time series of clinical data coming from sensors, enriched by the possible trajectories of relevant human patho-physiology models of interest for: Phenotype