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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
a five-minute virtual presentation (submitted as a video) addressing their fit with the role and motivation for applying. Attend a 1-hour interview (in person or remotely). Any adjustment request
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project (no more than five pages in length) and an online video clip link (e.g. YouTube) of yourself talking about your project. Please apply via the Recruitment System. We encourage all documentation to be
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“challenging,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . Role Description: The Shih Laboratory explores design
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challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role: The Wyss Institute for Biologically Inspired Engineering at Harvard
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activities as required by the school. Key Responsibilities: Develop, refine and implement Machine Learning and AI algorithms for real-world and media-related (e.g., video games) applications. Conduct
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 26 days ago
a five-minute virtual presentation (submitted as a video) addressing their fit with the role and motivation for applying. Attend a 1-hour interview (in person or remotely). Any adjustment request
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aspects of the selection criteria. If shortlisted, candidates will be asked to complete a: Prepare a five-minute virtual presentation (submitted as a video) addressing their fit with the role and motivation
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involving speech/audio, images, and video along with text-based applications. Job Requirements: MSc (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics
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About the role - The candidate will focus on Gage Repeatability & Reproducibility (Gage R&R) validation of a new video scope inspection system for turbine blade assessment. The objective is to
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About the role - The candidate will focus on Gage Repeatability & Reproducibility (Gage R&R) validation of a new video scope inspection system for turbine blade assessment. The objective is to