29 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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, or Computer Science. 2. A PhD (or be close to submission) in in Electronics Engineering, Electrical Engineering, Aerospace, or Computer Science or a related subject. Experience 3. Experience in conducting high
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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scientific computer language (e.g., C, C++), with experience of writing programmes in this language. • Excellent written communication skills in English and demonstrable ability to write material
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of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • On site nursery is available plus
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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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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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Page The Department The Department is one of the UK's leading Mathematics departments with an outstanding reputation in teaching, research, and employability of our students. It has an active programme
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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