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should go to https://uta.peopleadmin.com/postings/33389 and submit the following materials: Required Documents: Curriculum Vitae Cover Letter Contact information for 2 references Review of applications
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develops interdisciplinary programmes in a range of strategic areas, including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and
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responsible for designing, developing, and integrating advanced AI technologies, including real-time data processing, retrieval-augmented generation (RAG), Speech-to-Text (STT), and Text-to-Speech (TTS) models
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with industry, academic, and public sector partners. The position guides opportunities from initial concept through early development by building partnership models, bringing together the right internal
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planning, operational planning, finance, and regulatory compliance. The full job description is available, here: https://acrobat.adobe.com/id/urn:aaid:sc:VA6C2:ba070476-595f-4531-b860-3bb7ed637135 Job
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environment focused on physics‑informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics‑informed models for heat
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . MLab is seeking a Research Fellow to support the development and establishment
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, as well as the evolution of muscle properties across species. We combine mouse and cell culture models with a unique collection of muscle samples from diverse species, including black bears, cheetahs
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
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–Camden is recognized as a national model for civically engaged urban universities and was selected by the Carnegie Foundation for the Advancement of Teaching for a Community Engagement classification