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staff position within a Research Infrastructure? No Offer Description Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives
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the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great opportunity for you to innovate in this space by developing highly optimized
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systems on random graphs by rigorously characterizing the set of Gibbs measures. Applications of such problems range from computational complexity, coding theory, to machine learning. This PhD project
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into everyday gadgets like smartphones and IoT devices? This PhD position offers the chance to not only push technological boundaries but also to be part of pioneering research that integrates deep learning
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own group with your own lines of research on AI and machine learning interacting with other scientists at SSB; you will set up collaborations and attract funding for PhD candidates and postdocs
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-informed machine learning. You have excellent spoken and written English language skills*, and demonstrable collaborative, communicative and organizational competences. Affinity with inverse problems
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Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics
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network and data centers, the transmission link optimization at the physical layer, and the computing decentralized systems by exploiting state of the art machine learning approaches to ultimately implement
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has a PhD in AI, computer science, machine learning, data science, or a related field with a strong emphasis on AI in healthcare. The candidate has a clear research interest in the development and
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. The candidate will be expected to acquire the University Teaching Qualification (UTQ). Requirements Specific Requirements PhD in Software Engineering, Computer Science or related discipline(s). Candidates