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The School of Informatics, University of Edinburgh invites applications for a postdoc to undertake novel research at the intersection of computer vision and machine learning. The candidate will be
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privacy-preserving technology in Machine Learning. Despite its advancements, FL systems are not immune to privacy breaches due to the inherent memorisation capabilities of deep learning models
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or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable
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between humans and machines, in an interactive communication manner. Conventional approaches to developing conversational systems rely on key components, such as dialogue state tracking and action
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hospitals worldwide (160,000 downloads in the past 5 years). We are looking for a postdoc with experience in image analysis novel methods development and software. Applicants will be expected to hold a PhD
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and collaborate with a strong multidisciplinary team of academics at University of Southampton and experts from University College London. Person specifications: Master degree in machine learning
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machine learning and artificial intelligence. • To present your work at seminars within the Laboratory and at external meetings. • To contribute to the development of the processing and analysis
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to unravel the regulatory principles underlying the dynamics of intracellular signalling. We build these models by blending techniques from mathematical modelling and machine learning. More details about the
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. Our 4 new posts are going to be embedded in our AI Clinician team spanning a vibrant group of proactive research ranging from machine learning (reinforcement learning and generative AI), explainable AI
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Fixed-term: The funds for this post are available for 48 months. The Project Applications are invited for a PhD student to work on machine-learning guided and verifiably correct code generation