742 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United Kingdom
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) Curriculum vitae Short research vision or plan (strongly encouraged, up to 6 pages) PhD diploma Certificates of additional qualifications Contact information for two or more references Via our job portal
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or a closely related discipline and you will bring in-depth knowledge of cognitive and computational neuroscience including motivation, learning and decision making. You will have strong quantitative and
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be close to the completion of a DPhil/PhD in Neuroscience, Psychology or a closely related discipline and you will bring in-depth knowledge of cognitive and computational neuroscience including
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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The post holder should have a relevant PhD in Mechanical Engineering, preferably in positive displacement rotary machines or demonstrate that they are submitting PhD in the area. The post holder should have
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metabolism Strong problem-solving skills and the ability to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and
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in computer security. In particular the work will seek to deliver novel contributions that enable such systems to safely continue to operate even when they have been partially compromised and
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. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus. You will join an interdisciplinary team of researchers spanning imaging science, machine learning
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential
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at Université Paris-Saclay (https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing