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contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models, alongside complex drug screening, efficacy
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explain how you meet the essential criteria outlined below and evidence this with examples. Key Accountabilities The role is at the Research Associate/Assistant level, based within NU Solve in the School
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projects. The role will also provide the opportunity to learn and develop medicinal chemistry skills as applied to drug design. The role is ideal for someone who has, or is about to be awarded, a PhD in
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Systems, Energy systems modelling, or a related discipline (upon PhD completion, will transition to Research Associate) In addition for Research Associate PhD awarded in field of Power Systems, Energy
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. It is also fundamental that you have to be proficient in CAD modelling. You will be a highly enthusiastic, self-motivated and diligent individual with an inquiring mind and a particular interest in
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position initially and is expected to be held full time and in person. You will join the CNNP Lab, which is well supported with recent funding of over £3M. The lab is based in the School of Computing
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and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and Language Sciences, Education, Psychology