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The University of Surrey is offering a fully funded PhD studentship on the topics of Deep Learning for Audio-Visual Scene Analysis, with industrial partner Bang & Olufsen. This project aims
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of new analytical tools and reveal a more insightful picture of TE movement and evolution. This PhD position is focused on developing and applying deep-learning driven methods to advance our
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the field of Computational Material Modeling, related to the “Designing Solid Electrolytes for Li- and Na-ion Batteries using Deep Learning-based Models (DeepSolo)” project. The PhD candidate will be part of
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Associate position who has: a PhD (or near completion) in a relevant field background/skills in point cloud deep learning and/or 3D deep learning from images proven ability to conduct high quality research
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computer science or related field Strong knowledge of deep learning techniques to enhance the precision of nudging consumers towards sustainability. Proficient in data analysis, capable of extracting and
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programming skills Maturity and capacity to begin an independent research career Deep expertise in econometrics, machine learning and deep learning models and algorithms Good communication and time management
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visualization, and training deep learning models. The post-holder will also be expected to work collaboratively within a multidisciplinary team of engineers, data scientists and clinicians. This is a full time
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Learning, Deep Learning, Computer Vision, Financial Data Analysis and Geometric Deep Learning. Our group is equipped with the high-performing computational resources (the best NVIDIA GPUs, embedded GPUs
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fellow. Highly motivated individuals with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing
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skills Developing image analysis/machine learning algorithms would be beneficial Able to work as part of a joint team for deep learning and robotics How to apply Interested applicants should contact Dr