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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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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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the Faculty of Life Sciences & Medicine Hub for Applied Bioinformatics. This post is jointly funded by the Borne Foundation (50%) and King’s Health Partner’s Centre for Translational Medicine (CTM) (50
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backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute
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infectious diseases and population health), close ties with NHS partners, and a commitment to translational research and high-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal
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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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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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microscopy, subcellular localisation and FRET analyses Experience in bioinformatic analysis of sequencing and proteomics data Ability to work independently and as part of a team Evidence of publications in RNA
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AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical