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                out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider 
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                criteria PhD qualified in Neuroscience, data analytics, computer science or a related discipline Strong publication record commensurate with career stage, demonstrating independence and impact. Proven 
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                , computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in 
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                , computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in 
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                this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in Neuroscience, data analytics, computer science or a related discipline Strong 
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                this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in Neuroscience, data analytics, computer science or a related discipline Strong 
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                software such as recommendation systems, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers 
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                Associate once the PhD has been awarded. The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and 
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                United Kingdom Application Deadline 9 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job 
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                testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier