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practical in assisting all projects. Additionally, there can be engineering advantages gained if projects can be aware of the technologies and products every project is dealing with. Sharing lessons learned
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representations. The project will also explore machine-learning approaches and efficient imaging strategies, including reconstruction of three-dimensional pore structures from radiography. By linking defect
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About the Opportunity Responsibilities: Teach selected master level courses of the Master of Science in Electrical and Computer Engineering (ECE) program of the ECE department at the Northeastern
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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, Technology and Information in Human-Computer Interaction (HCI), with a focus on responsible computing. The successful candidate will have an interest in online safety, including areas such as social media
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vision challenges) Experience with version control (Git) and collaborative development practices Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408353/research-engineer-c
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10 Apr 2026 Job Information Organisation/Company Lunds universitet Department Lund University, Faculty of Science, Faculty of Engineering Research Field Physics Researcher Profile Recognised
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engineering or similar. Knowledge and experience with deep learning models applied in computer vision. Remarkable academic trajectory, validated by a strong record of publications in relevant international
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GitHub. Essential Duties and Responsibilities: Assist in the development and implementation of AI agents and machine learning models for civil engineering applications Develop, test, and optimize models
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image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre to finished product