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modern privacy-enhancing technologies (e.g. based upon synthetic data or using formal differential privacy guarantees) impact research integrity and reproducibility. This is an exciting line of research
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responsibilities will include working within clinical researchers associated with the project, taking responsibility for completion of data analysis, and helping with the supervision of PhD students working
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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). This consortium pulls together expertise from all over the University, including in diagnostics, data science, drug and vaccine design, preclinical testing and clinical testing and brings it to bear on tuberculosis
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will have or be close to the completion of a PhD in Neuroscience, Psychology or a closely related discipline. With in-depth knowledge of cognitive and computational neuroscience including motivation
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of migration in cetaceans’. The post holder will provide guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students. The post holder will
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to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. In this post you will manage your own academic research and
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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interpret high-resolution datasets that reveal new insights into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. You will hold a relevant PhD/DPhil
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of conventional and spatially resolved angle resolved photoemission spectroscopy with spin resolution. The post holder provides guidance to less experienced members of the research group, such as PhD and project