213 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at King's College London in United Kingdom
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the Centre for Research Staff Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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conditions. About the role: We are seeking a highly motivated postdoctoral Research Fellow in statistical genetics and genomic data science to join Professor Gerome Breen’s team at King’s College London and
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. This role is based within the Faculty of Life Sciences and Medicine, in the Department of Infectious Diseases, which brings together expertise across microbiology, immunology, clinical sciences, data science
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an exciting opportunity for a Postdoctoral Research Associate to join their dynamic, interdisciplinary team to shape how multimodal bioimaging data is stored, shared and reused. The Parsons Group is based in
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’ to ablate. Here, we aim to further develop, clinically validate, and prospectively evaluate, a novel in-silico tool that uses patient imaging data to reconstruct personalised ‘digital twin’ cardiac models
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ensure that all courses are scheduled efficiently to meet business needs and that attendees are booked and reminded to attend. You will be able to produce data and metrics to support the training that has
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approaches, and implement them in partnership with technical teams. This will involve designing and developing accessible user interfaces and advanced data visualisations for search-intensive and highly
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trials (and other experimental trials as appropriate), Convey research findings, including complex quantitative information, in a clear and actionable way Develop and maintain expertise in behavioural
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experience of working with mice within a research environment. Experience of various dosing techniques for cancer therapeutics (intraperitoneal injection, oral gavage, IV injection). Experience in data
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awareness of safety considerations in high-field MRI. Experience working with MRI systems in a research or advanced technical environment, with hands-on involvement in data acquisition or system support