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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
Technology Focus Areas: Tenure-track Assistant Professor in Video and Audio Processing, XR/3D Media processing, Computer Vision, Computer Graphics, Haptic information processing, Artificial Intelligence
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for computer vision and audio-visual AI, enabling award-winning technologies for content production in TV, film, games and immersive entertainment. In 2021, CVSSP founded Surrey’s Institute for People-centred
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licence and be GOC-registered optometrists with an interest in paediatric vision research. Important Information: Applications for more than one PhD studentship are welcome, however if you apply
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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activities. Candidates are expected to have a solid Computer Science background and must hold a completed PhD degree in Computer Science or a related field. Ideally, applicants already have experience in
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with a focus on 100% fish utilization. The collaboration between NICHE and the Centre for Optometry and Vision Science will provide a unique opportunity to become involved in a novel study. Important
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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR