27 parallel-computing-numerical-methods Postdoctoral positions at King's College London
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planned work, including one of the UK’s only 7 Tesla MRI systems located inside a hospital environment, state-of-the-art engineering and physics laboratories, high-performance computing, and industry
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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Mental Health Younger Generations Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis
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techniques Experience in protein expression and purification methods Good understanding of structural and molecular biology and biochemistry * Please note that this is a PhD level role but candidates who have
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work make a real-world impact? King’s College London is seeking a talented Postdoctoral Research Associate to join the pioneering NanoCure project, an ambitious programme developing medical-grade
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working effectively as part of a multi-disciplinary research team. An enthusiasm for healthcare data research and willingness to adapt and learn new research methods. Desirable criteria Knowledge
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-delivered systemic anti-cancer therapies. It requires a unique blend of expertise in pharmaceutical science, drone piloting, and analytical methods. The postholder will contribute to pioneering approaches in
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
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criteria PhD in research methodology, social sciences, or a closely related field (or near completion). Demonstrated experience in participatory, visual embodiment, and interpretive research methods. Track
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Associate to join a growing programme investigating how age-associated changes in haematopoiesis shape inflammatory responses relevant to cardiovascular disease. Working within the School of Cardiovascular