674 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United Kingdom
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Field
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criteria PhD qualified in Neuroscience, data analytics, computer science or a related discipline Strong publication record commensurate with career stage, demonstrating independence and impact. Proven
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in Neuroscience, data analytics, computer science or a related discipline Strong
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in Neuroscience, data analytics, computer science or a related discipline Strong
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involve directed evolution and protein optimisation, applying molecular biology and biophysics. Researchers will be supported to develop skills in the latest AI or machine learning tools for protein design
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, ensuring they are kept fully up to date with progress and difficulties in the research projects. It is essential that you hold a PhD/DPhil in a quantitative discipline (e.g. Statistics, Machine Learning
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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
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to conduct multidisciplinary research around robot learning for autonomous robotic chemists, with a background of excellent research outputs across Robotics and Machine Learning, ideally with a background in
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to conduct multidisciplinary research around robot learning for autonomous robotic chemists, with a background of excellent research outputs across Robotics and Machine Learning, ideally with a background in
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reactions. We welcome applicants from diverse backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate
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for the Research Associate, Grade 7 level, position must have a PhD in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling