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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. · To plan and manage own research
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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resolution, longitudinal, technical and social data with the aim to better understand energy use. The programme is an interdisciplinary collaboration between the School of Geography and the Environment (Oxford
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and social data with the aim to better understand energy use. The programme is an interdisciplinary collaboration between the School of Geography and the Environment (Oxford), the Department
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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Postdoctoral Researcher to contribute to our pioneering work focused on enhancing the efficacy of radiotherapy in cancer treatment. Our research aims to develop targeted strategies that selectively increase
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well as populating the platform with editions of papyri, ostraca and tablets, the postholder will also produce original research on ancient education based on this material, with particular focus on the development
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Trust Career Development award funded research programme “Unlocking the RNA Helicase Code: From Structural Insights to Therapeutic Strategies” led by Dr. Jagtap. The overall project builds upon our novel