31 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Durham University
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implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
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. Person Specification Essential Criteria: Qualifications 1. A good first degree in Electronics Engineering, Electrical Engineering, Aerospace, or Computer Science. 2. A PhD (or be close
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at a theoretical level. The main criteria for the role are a strong track record in world-leading research commensurate with applicant’s experience, along with a PhD in computational chemistry or related
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). The position involves collaborating with the PIs and external academic and industry partners on research projects focussed on the mathematical and computational foundations of machine learning. There will of
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supports the Institute’s vision to improve human health through research on hidden experience. As part of the Platform, the Affective Experience Lab works to generate new insights about the relationship
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to work independently and use creative methods and approaches 18. Knowledge of machine learning for image classification Skills Demonstrable ability to plan and manage independent research.
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, Psychology, Modern Languages and Cultures, Philosophy, History, Sport and Exercise Science, Education and Sociology. The DRP-MH supports the Institute’s vision to improve human health through research
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Associate to be based in the Moving Bodies Lab. The post holder will be responsible for a) designing and conducting an original programme of individual research that aligns with the aims and objectives
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/business . The school’s student population is around 4,000, across undergraduate, postgraduate and research programmes. Our vision is to lead business thought and practice to improve global wealth and well
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school’s student population is around 4,000, across undergraduate, postgraduate and research programmes. Our vision is to lead business thought and practice to improve global wealth and well-being. Our