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The Biomedical Image Analysis Group, led by Prof Ben Glocker, in the Department of Computing at Imperial College London is seeking a talented Research Assistant / Associate to take a key role in an
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abort (or not engage) if the bright white lines that fit a defined and rigid expectation are not clearly visible. These systems use algorithms, rather than AI machine learning, to detect road markings and
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based in the School of Engineering. You will work under the guidance of Tousif Rahman and Prof. Rishad Shafik. For informal queries please contact Dr. Tousif Rahman at: tousif.rahman@newcastle.ac.uk
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Primary supervisor - Prof Kate Kemsley Join us to research and develop advanced analytical methods for tackling food fraud head-on! Economically motivated adulteration of foods is a significant
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for greater precision. Machine learning (ML) algorithms will analyse these datasets to deliver a scalable, cost-effective system, validated through field trials and enhanced by contributions from four
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will work closely with the PI (Prof. Dawar) in a team of other researchers on the project and actively participate in the Logic and Algorithms research group. Candidates will have completed a Masters
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will work closely with the PI (Prof. Dawar) in a team of other researchers on the project and actively participate in the Logic and Algorithms research group. Candidates will have completed a Masters
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environment-specific algorithms and machine learning approaches. At the end of the project a technology demonstrator will be built using UAV- and USV- mounted radar sensors, and it will be tested in real world
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat