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Field
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focused on the design and development of advanced power electronic systems. The primary role will involve the design, simulation, and validation of power electronics, including converter design
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) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art Historical Interpretation Digital Provenance Research and Collection Histories Computer Vision for Art Historical
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techniques, including optical lithography and/or electron-beam lithography. Perform device processing using ICP-RIE and/or ion milling techniques. Analyse structural, electrical, and materials characterisation
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that directly relate to this position. Electrical and Computer Engineering is looking for a Postdoctoral Fellow for a full year (12 months). The position is focused on wireless sensors and sensing systems
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Digital Provenance Research and Collection Histories Computer Vision for Art Historical Research Cultural Analytics and Network Analysis Geospatial Approaches to Art History Supervision The Fellow will also
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept
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, reporting, and communications with industry and research partners. Job Requirements Bachelor/Master/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical
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combine semiconductor device physics, quantum sensing, spin-dependent transport, and diamond electronics, with opportunities to explore hybrid platforms involving two-dimensional materials, field-effect