124 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" uni jobs at King's College London
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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
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opportunity for a Lecturer in Muscle Biophysics to lead a dynamic and forward-looking programme in muscle biophysics based in the Randall Centre for Cell and Molecular Biophysics at King’s College London
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. About Us The School of Biomedical Engineering & Imaging Sciences seeks to appoint an experienced technician to support cutting-edge research and training activities across the School. The post holder will
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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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Engineering & Imaging Sciences at King’s College London is a world-leading centre for translatable methods of diagnosing and treating disease. Hosted within St Thomas’ Hospital, our facilities include pre
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security principles Intermediate level of one of the following fields, and advanced level of two or more of their component disciplines: Crestron control programming (or similar) Sound engineering, DSP
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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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. Degree/Postgraduate qualification in a relevant field (e.g., Construction Management, Architecture, Engineering) or equivalent demonstrable experience in construction project delivery. 2. Must have
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-estimation models and deploying the technology, with a view to compatibility for electronic health records. The post holder will have a background in Computer or Data Science. The successful applicant will be
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while advancing the School’s strategic strengths in AI are strongly encouraged to apply. Our academics undertake research across a wide range of computing fields: software engineering, data science