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emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and mitigation policymaking by other global stakeholders. You will be
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. Our team focuses on understanding the immune system's role in autoimmune and inflammatory diseases and exploring immunotherapy to treat them. This exciting project involves characterising samples from a
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research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and metabolic function, and drive the translation of this strong basic
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Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process
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of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment
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and/or flow cytometry-based readouts of infection Experience with biochemical assays (e.g. Western blotting) Experience handling/processing samples in vivo infection models and/or human samples
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foldamer catalysts, and their application towards a variety of stereoselective processes, including organocatalytic and photocatalytic reactions. Applicants should have extensive experience in both small
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information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel
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biology capabilities within a dynamic, multidisciplinary research environment at King’s College London. The successful candidate will bring deep expertise in tissue processing, digital pathology, spatial
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assessed at each stage of the recruitment process. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our