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challenges facing the nation. We are seeking a full-time Distinguished Scientist, Artificial Intelligence and Machine Learning, who will support the Cyber Resilience and Intelligence Division (CRID) in
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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, United States of America [map ] Subject Area: Artificial Intelligence, Machine Learning and Autonomy / Ethics Appl Deadline: (posted 2024/11/22, listed until 2025/05/22) Position Description: Apply
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Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate Science
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Research Machine Learning Software Developer Department Bashashati Laboratory | School
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Sessional Lecturer, INF2205H - Designing Sustainable & Resilient Machine Learning Systems with MLOps
University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2205H – Designing Sustainable and Resilient Machine Learning Systems with MLOps Course
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University of Cambridge About us Contact us Job Opportunities Jobs Applying for a job My applications Right to work What we can offer Living in Cambridge Temporary work Work experience Volunteering Page not found This page cannot be displayed. If you are returning to a previously accessed job...
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The use of Artificial Intelligence/Machine Learning methods in process optimisation and control is one of the key strategies the formulation industry has adopted to reduce resource and energy
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Job Description Job Alerts Link Apply now Job Title: Research Associate in Machine Learning and Artificial Intelligence (ML/AI) Posting Start Date: 15/04/2025 Job Description: The Role
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for managing smart cities. The team has gained substantial experience in machine learning for road traffic monitoring. They are now keen to thoroughly explore the additional opportunities presented by