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for analysis of large-scale bulk and single cell data sets Strong understanding of statistical modelling, data normalisation and machine learning methods applied to biological datasets Experience with data
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postdoctoral research associates. This is a mid-level PDRA position. The appointed person will use Digital Humanities methods to analyse and visualise qualitative narratives of pandemic relief work which
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of Arts & Humanities. We are internationally recognised for our interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join
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/Z534304/1 (assessed under the ERC Advanced Grant scheme). The ideal candidates will hold a PhD in theoretical/condensed matter physics, with knowledge of non-equilibrium many-body physics and methods
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spectral efficiency, 6G networks must address the leakage of critical and confidential information at an affordable cost, complexity and power consumption. Traditional cryptography methods cannot, however
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Humanities methods to analyse and visualise qualitative narratives of pandemic relief work which consisted of using social media, aiding online vaccination, and enabling digital surveillance in the form
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, data normalisation and machine learning methods applied to biological datasets Experience with data management and version control (Git/GitHub, workflow automation, documentation) Capacity to work
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postdoctoral research associates. This is a mid-level PDRA position. The appointed person will use Digital Humanities methods to analyse and visualise qualitative narratives of pandemic relief work which
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interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join the Computational Humanities research group, a vibrant and collaborative
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HEK293T cells and/or insect cell systems) cell culture Experience in basic molecular biology and biochemistry techniques Experience in protein expression and purification methods Good understanding