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of translating fundamental AI, computer vision and spatial audio into ground-breaking creative-industry technologies. The post will investigate novel audio systems for virtual production, contributing both
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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from multiple disciplines and institutions. Required: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong background in machine learning / computer
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, science and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation
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of the following areas: fluid mechanics, biology, physiology, computer vision, or other applications in engineering or biomedicine. Expertise in Python, C/C++ or other program languages. We encourage PhD applicants
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and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation, including
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of Physics, Mathematics, and Computing (PMC) at UWA. The PMC School has a strong tradition of world-leading research in computer vision, mathematical physics, data science and quantum measurement. About the
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, and needs to be responsible for reporting progress and delivering outputs to the project. The PhD position is linked to NTNU Aluminium Product Innovation Center (NAPIC) and MANULAB – Norwegian
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account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program
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, sensor networks and measurement technology, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will be part of a research