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research networks such as the Centre of Data and Statistical Science for Health (DASH) (https://www.lshtm.ac.uk/dash ) and the Multi-City Multi-Country Collaborative Research Network (https
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EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 2 months ago
disease mechanisms from single-cell and spatially resolved multi-omics data. You will work within an international and interdisciplinary group of scientists to better understand and treat diseases (for more
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experience Familiarity with core engine technologies such as engine architecture, multi threading, streaming, computer graphics and advanced real-time rendering techniques Experience developing optimized
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Translational Research Centre. The post holder will work directly with experienced senior researchers supporting the implementation of patient-based clinical trials across phases of clinical development (phase IA
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culture Familiarity with current gene editing techniques e.g. CRISPR, BxbI integrases Previous work experience in a molecular biology laboratory Experience with core molecular biology techniques e.g RT-qPCR
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earning L essons from S cotland (CoWBELLS), based in the Yunus Centre for Social Business and Health at Glasgow Caledonian University (GCU). We are looking for a Research Fellow with excellent interpersonal
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to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis
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child health. The position is based at the MRC Lifecourse Epidemiology Centre, and part of an NIHR-funded programme of research which aims to inform how people can be better supported to plan and prepare
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The role This is an exciting opportunity for a GP with an interest in skin and infection research to join the Centre for Applied Excellence in Skin & Allergy Research (CAESAR). CAESAR is a multi
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practical workshops, and we recently partnered with KCL’s Spatial Biology Facility , an advanced centre equipped for high-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data