585 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United Kingdom
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as
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This project provides comprehensive training in innovative analytical techniques designed to explore fungal contaminants and their toxins in food, making a tangible impact on food safety and public health. As a successful candidate, you will benefit from full financial support, dedicated...
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Supervisors: Dr Tim Halim and Dr Gregory Hamm Course start: 1st October 2026 Overview The project will be supervised by Dr Tim Halim, Dr Albert Koulman (Institute of Metabolic Science) and Dr Gregory Hamm (AstraZeneca). Project details The tumour immunity cycle involves cyclical trafficking of...
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We invite applications for a fully funded PhD studentship jointly hosted by the University of Birmingham and Diamond Light Source, the UK’s national synchrotron facility. This position is co-funded
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness
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electrolyser devices. However, we do not expect you to have prior knowledge of fabricating and running electrolysers or computational models. You will get the opportunity to learn from both the experienced
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should have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge
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The Ecologies of Learning Lab, led by Sheina Lew-Levy at the University of Durham (UK), is advertising three (3) funded PhD studentships for the European Research Council funded project “Children
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to achieve, at least a 2.1 honours degree or a master’s in a relevant science or engineering related discipline. Applicants should have strong background in Machine Learning and Deep Learning. To apply, please