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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and...
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clinical informatics Familiarity with statistical software packages, data management, and quantitative analysis techniques Excellent interpersonal and written and verbal communication skills applied across a
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of an adapted language enrichment programme. Due to funding restrictions, the successful candidate must be able to start the role before 30th Sept. This role is eligible for hybrid working with a
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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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-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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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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motivated Research Fellow with a strong background in statistical genetics and/or computational biology to join our team. The successful applicant will lead a cutting-edge research programme which aims
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work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through
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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
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computational frameworks to study the interplay between biochemical patterning, growth, and morphogenesis during development and evolution. The project will include collaborations with experimental colleagues