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breast cancer. In collaborating with cross-functional teams, including bioinformatician, computer scientists, AI engineers, biologists, and clinicians, you will validate AI-generated insights by comparing
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Trust. We run a clinical PET service in parallel with an extensive programme of clinical research. Facilities currently include 2 cyclotrons, radiochemistry labs, 3 PET-CT scanners and a PET-MR scanner
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of the successful applicant include: Knowledge and extensive use of bioinformatics methodology Successful track record in teaching others to use bioinformatics methodology Ability and willingness
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. Strong background in statistical analysis and interpretation of large-scale data, especially NGS. Proven track record in a relevant subject (e.g. Bioinformatics/Computational biology/Computer Sciences
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data review of samples, processing and working with the bioinformatic team for analysis. The post will also involve working closely with academics and clinicians, writing talks, and working
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requirements. In parallel there’s been an expansion of AI-driven structural biology (e.g. Alphafold, prediction of disease mutations, prediction of molecular interactions). These projects require specialist
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for maximum performance per watt. You will investigate how configurable and customizable processing technologies can be leveraged to create fundamentally more energy-efficient Computational Fluid Dynamics
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. The role includes overseas travel to both partner countries as part of the research programme. We are seeking an enthusiastic and experienced researcher with expertise in genomics and bioinformatics, large
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science into advances in clinical practice. Our community of world