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to https://sparkmedia.tv/ Qualifications we require: Hold, or be about to obtain, a Master's degree in Computing, Computer Vision, Data Science or a related field. A PhD in Computer Vision or similar
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), radiological and clinical images. The aim of this project is to investigate the use of artificial intelligence and machine learning in automated detection and segmentation of cancer and its microenvironment
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This is an exciting opportunity for an experienced, ambitious, talented, and highly motivated machine learning scientist to join our team within the Precision Breast Cancer Institute https
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flow of realistic car shapes and their implications on pollutant dispersion under actual road conditions. Overview The PhD student will test these two hypotheses: There is a strong effect of the vehicle
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external engagement The successful candidate should have the following: PhD or Doctorate in a related discipline (or near to completion) Higher education teaching qualification and/or Fellowship of Advance
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registration and already hold or be close to obtaining a PhD/ DPhil/MD. They should be eligible to work as a GP in the UK. The post holder will be eligible to apply for the School Learning and Development Fund
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management studies. The Marketing group at CJBS comprises scholars specialising in marketing strategy and modelling, including econometrics, machine learning, and analytical approaches. In
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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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project by addressing specific case studies or specific targeted techniques. The main tools to be used will come from the discipline of Machine Learning, particularly those based on Bayesian methods
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is