111 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at King's College London
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together world-leading clinician scientists across six distinguished Healthcare organisations, world-leading AI & technology companies, together with premier biotech companies, with the overarching aim
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to maternal and infant mental health such as the Infant CARE Index, the Marshak Interaction Method, the Hamilton-Depression Rating Scale, the MINI International Neuropsychiatric Interview and the Structured
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ensure a seamless hand-over so you can fully recharge As founding members of this new remote team, your wellbeing is our priority. We provide structured digital 1:1s, a weekly ‘Wellbeing Hour’, and
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an enthusiastic, proactive, and collaborative biologist to join Prof Witney’s Group in the School of Biomedical Engineering & Imaging Sciences, King’s College London. You will join a dynamic and successful
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strategy. Assist in the coordination and developing lifecycle strategy projects for delivery with Capital Projects and Engineering campus projects, ensuring alignment with Estate Strategy during design
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in techniques of developmental biology and expert in mRNA detection using HCR technology. Experience in confocal imaging and 3D analysis of confocal stack is essential. The role is expected
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solution design. The position involves a combination of reverse and forward engineering to gather, document, and refine requirements effectively. You will have the opportunity to work alongside senior data
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large numbers of patients with epilepsy. We propose to use our open-source EHR database processing and NLP AI data pipeline and toolset to extract this EHR information and structure it. Once in this
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to 20,000 partners. It brings together world-leading clinician scientists across six distinguished Healthcare organisations, world-leading AI & technology companies, together with premier biotech companies
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skills 3. Computer literacy including word processing, spreadsheets, databases and internet use 4. Evidence of significant understanding of technology transfer in an academic environment 5