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Gothenburg. We offer a creative and inspiring environment full of expertise and curiosity. The Karolinska Institute is one of the world’s leading medical universities. Our vision is to pursue the development
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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Environment This studentship is based at the Centre for Vision, Speech and Signal Processing (CVSSP). CVSSP is: The largest UK research centre in its field Ranked 1st in the UK for Computer Vision research
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DigitalMetal in the Faculty of Engineering, which conducts cutting edge research into cutting-edge technologies and AI to revolutionise metals manufacturing. Vision We are seeking a PhD student who is motivated
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network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
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sharing. The Assistant Director leads the Center's terrestrial research program, oversees key training initiatives, and collaborates closely with the Center Director to promote the Center's strategic vision
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, computer science, computer vision, machine learning, state estimation, perception, sensor fusion, autonomous systems, navigation and control Deep foundation in modern machine learning Solid programming skills in C
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key training initiatives, and collaborates closely with the Center Director to promote the Center’s strategic vision, research portfolio, and global partnerships. The ideal candidate will develop and
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between biology and artificial intelligence. Strong collaborative skills, analytical ability, and the capacity to work independently. Merits: Education or training in computer vision, machine learning, deep
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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