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Sadiquis clinical research groups at the National Heart and Lung Institute at Imperial College London applying statistical, machine learning and simulation approaches to combine experimental and clinical
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pedagogies such as co-creation and active learning. Experience with digital education and online learning environments is essential, along with a commitment to interdisciplinary collaboration and high
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Postgraduate qualification (or near completion) in Marketing, Business Analytics, Computer Science, Human–Computer Interaction, Information Systems, or related field Demonstrable experience working with Large
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- 2025 - Business Strategy and the Environment - Wiley Online Library Additive Manufacturing: A Comprehensive Review Big data, machine learning, and digital twin assisted additive manufacturing: A review
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system resilience under changing climatic and economic conditions. Traditional predictive models, such as regression and standard machine learning, capture correlations but not causal mechanisms—how
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. Carrying out plant room checks. Pool vacuum set up and take out, cleaning of the machine. Attending training once a month outside of normal shift pattern, lifeguard training, situational training, fire
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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. We are looking for a computer scientist with expertise in both front-end and back-end development. Specifically, the objectives of the post holder will be to develop a smartphone app to instruct
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upskilling opportunities e.g., assessor awards and short courses Promotion of professional behaviours within the classroom Whatyou’llbring You will thrive in our team if you have a strong willingness to learn
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orders and invoicing. Highly computer literate and demonstrable ability to use the Microsoft Office, including Excel, Word, SharePoint and Teams. Desirable criteria Prior experience supporting NHS/academic