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, Collections and AI 3D Scanning and Digital Heritage Extended Reality (VR, AR and Mixed Reality) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art Historical Interpretation
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record (AR) and Interview (I) VII.I - AR - In the evaluation of the academic record, the candidates' academic performance will be assessed according to the following weights and criteria: - Criterion 1
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be funded by own revenue VI.IV - Information and publicity about the funding: N/A VII - Selection Methods: Evaluation of the academic record (AR) – 100% VII.I - AR - In the evaluation of the academic
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Europeu de Desenvolvimento Regional (FEDER), through the Programa Temático Inovação e Transição Digital (COMPETE 2030) of Portugal 2030. VII - Selection Methods: Evaluation of the academic record (AR) and
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funded by own revenue. VI.IV - Information and publicity about the funding: N/A VII - Selection Methods: Evaluation of the academic record (AR) – 100% VII.I - AR - In the evaluation of the academic record
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(NUS), conducts cutting-edge research at the intersection of Augmented, Virtual, and Mixed Reality (AR/VR/MR), Artificial Intelligence (AI), and Human-Computer Interaction (HCI). The lab has a strong
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fabrication tools (e.g., 3D printing, laser cutting, soft-material prototyping). • Implement embedded firmware and real-time control pipelines for interactive feedback. • Interface hardware with VR/AR software
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research with real-world applications in robotics, VR/AR, and embodied AI. Key Responsibilities: Conduct individual research within the designed project: process data, develop research methods, build and
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Fellow to contribute to the CSIRO AR-PST Stage 6 project, Smart Inverters for Voltage Support in DER-Rich Distribution Networks , led by Professor Frederik Geth and Associate Professor Archie Chapman
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networks. • Apply AI/ML and deep learning techniques for analyzing dense multimodal data in real time. • Integrate system-level solutions for interfacing with computers, smartphones, or AR/VR