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application of analytical pipelines to data generated by the WaSPP network. What you would be doing This is a three-year post that would suit a biologist or mathematician (or similar) with research experience
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according to published clinical standards, and evaluate/ interpret data outputs. The main analytes will be elexacaftor, ivacaftor and tezacaftor (“Kaftrio”) alongside their stable-isotope internal standards
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the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
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has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and
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the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
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the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal
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approach to problem-solving with the ability to apply and develop new concepts and approaches Excellent verbal communication skills and the ability to deal with a wide range of people High level analytical
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of liver micrometastases development in cancer, based on a novel MRI approach which combines multi-dimensional diffusion-relaxometry acquisitions, efficient data denoising and biophysical modelling