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Evolutionary Medical Genomics (EvoMG) is a MSCA Doctoral Network programme that pioneers an integrative approach combining Evolutionary Medicine and Medical Genomics to address critical health challenges. By
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with experimental virologists to validate computational predictions Impact and Outlook: This project will uncover the untapped structural and functional potential of bovine UL-CDRs, laying the groundwork
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structural variation analysis. Training: You will develop a broad set of skills in computational biology, genetic analysis, bioinformatics, and scientific writing. You will also gain expertise in evolutionary
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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-on experience in both laboratory and computational approaches, equipping you with a strong skill set for a career in evolutionary genetics, genomics, or bioinformatics. Person Specification This project is ideal
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Fleshy-fruited Myrtaceae, comprising nearly half of the ~6,000 species, represent a key evolutionary innovation linked to diversification and dispersal. This project investigates the ecological and
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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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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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fundamental evolutionary biology, the project has broad relevance to conservation, pest management, aging, and human health. For example, many sex-specific diseases are thought to arise from mutations
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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