192 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" uni jobs at King's College London
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health and behaviour throughout pregnancy, enabling a holistic understanding of health trajectories and personalised interventions. The post focuses on analysing multimodal data collected from wearable
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Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be
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. Basic programming skills (e.g. Python, MATLAB, or similar) for data analysis, modelling, or experimental evaluation. Desirable criteria Experience with continuum, soft, or flexible robotic systems
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booking, testing, data management, data processing and analysis and reviewing literature. As part of the role you will be expected to liaise with research collaborators to assist with the study conduct and
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signatures of ALS pathology in human motor neurons using a novel system developed in the Serio lab. The successful candidate will have a demonstrable track record and experience bioinformatics and data
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pressure, taking reasonable and proportionate steps to solve problems. Desirable criteria 1. Ability to assess, evaluate and understand information to inform practical solutions. 2. Ability to make
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community. You will take the lead in designing and creating a range of visual elements such as graphics, illustrations, data visualisation and animations for a range of online courses. You will be responsible
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data in EHRs includes extensive and rich detail about the presentation, phenotype, investigations, diagnosis, comorbidities, treatments, encounters with hospital services, and clinical outcomes for very
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the role, and you will build strong working relationships with teams across KC&E, KCLSU and central services to support major campaigns and initiatives throughout the year. You will also use data and
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of neurological and psychiatric disorders. We are recruiting a highly motivated professional to support the delivery of the large-scale programme and associated projects of the Data & Digital Alliance Team (DIGIT