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Field
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products play a vital role by enabling cleaning at lower temperatures and with less water. A key component in these products are polymer additives, which enhance cleaning performance by aiding in soil
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results from human decision-making to inform the design of this new paradigm, and feed the results of the latter back into human decision-making to help make it more explainable. The PhD student will: (1
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Proposed topic “Creating a National Digital Twin for self-harming
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mission. You will: Help collate data resources relevant to suicide and self-harm. Develop new machine learning methodologies (from artificial neural networks, decision trees, evolutionary algorithms and
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new types of measurements, can help us create a more complete picture of the electron wavefunction. The project relies on a combination of concepts from quantum mechanics, information theory, and
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’ families, and community organisations to co-design these avatars and training experiences. The goal is to create digital tools that help new or incoming carers feel better prepared for the specific
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decisions surrounding future applications of NLP. Candidate profile An ideal candidate would typically be: A graduate with a strong degree in a relevant field (computer science, linguistics, design, HCI, law
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Health and Care Technologies. Summary of project As we age, we may experience changes in our brain health. For most people, these changes are related to ageing; for some they reflect underlying diseases
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small elements of computational chemistry (electronic structure calculations) to help interpret experimental observations, supported by local and national supercomputing facilities. Entry Requirements
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leading research, education, policy and industry sectors. Our innovative programme offers exceptional PhD training and supports a diverse portfolio of multidisciplinary research across the NERC remit. We