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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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assessments (LCA) to quantify the environmental impacts of proposed processes and compare them with conventional alternatives. Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS
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harmonised protocols for clinical sample processing and multiomics approaches (including transcriptomics, genomics, metagenomics etc.). We have joined our teams to provide bespoke support and analysis
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facilities for magnetoencephalography and hyperpolarised MR. The 7T scanner has recently undergone a major hardware and software upgrade and now forms a testbed for the development of the 11.7T system
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in using Computational Fluid Dynamics (CFD). Experience simulating complex fluid dynamics processes, preferably multiphase reactive flows, using and especially customising CFD software is an essential
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in using Computational Fluid Dynamics (CFD). Experience simulating complex fluid dynamics processes, preferably multiphase reactive flows, using and especially customising CFD software is an essential
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following skills and experience: Essential criteria PhD qualified in relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R
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using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant discipline and have expertise in quantitative research methods
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sensors and signal processing. B11 Experience in real-time graphics/game development. B12 Experience in delivering and publishing software libraries (e.g. track record of creating research-related open
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research in applied LLMs, knowledge engineering and geospatial analytics and assist in the development of web application and software packages to translate the research outcomes. In particular, the Research