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to: to develop and evaluate one pilot programme with our partners Two Lives London and their supply chain partners produce a set of case studies that would enable the Centre to identify & specify a full
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and
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onsite post (35 hours per week), and you will be offered a fixed-term contract of 36 months. Position to start no sooner than 1 November 2026. Research staff at King’s are entitled to at least 10 days per
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partners Two Lives London and their supply chain partners (2) produce a set of case studies that would enable the Centre to identify and specify a full commercialisation proposition including an IP licensing
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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develop and evaluate computational methods for modelling patient-specific aortic and valvular haemodynamics. The position is funded until March 31st 2028 in the first instance, and available immediately
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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information. About You Essential criteria PhD qualified in relevant subject area (neuroscience or related discipline) In depth understanding of metal biology and metal-related disease pathology Proven knowledge
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sequencing library preparation is desirable. Previous computational experience is not essential, as training and support in bioinformatic and single-cell data analysis will be provided. The position would