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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related
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of the next phase of our Younger Generations Programme are to maximise outputs from the first phase, consolidate and extend ongoing research, and establish a schools health research network. Core activities to
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work alongside experts in both computational and experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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the growth and stability of individual filaments or organise multiple filaments into various bundled and branched networks. This role will focus on a family of actin-binding proteins that regulates the actin
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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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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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) Country United Kingdom Application Deadline 29 Sep 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
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical