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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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to develop novel immune therapeutic strategies for hard-to-treat triple negative breast cancers (TNBC). Based in the Cancer Bioinformatics Group (Professor Anita Grigoriadis), the postholder will contribute
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and clinicians at King’s and the Institute of Cancer Research to develop novel immune therapeutic strategies for hard-to-treat triple negative breast cancers (TNBC). Based in the Cancer Bioinformatics
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to develop novel immune therapeutic strategies for hard-to-treat triple negative breast cancers (TNBC). Based in the Cancer Bioinformatics Group (Professor Anita Grigoriadis), the postholder will contribute
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environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and
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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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and high-quality teaching. Dr. Alessandra Vigilante leads a research group of bioinformaticians with expertise in multi-omics data integration and translational bioinformatics. She is Head of the Hub
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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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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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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