187 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" "Dr" 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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help develop their independent programme of research in molecular immunology to make a substantive contribution to KCL's portfolio of research in cell and gene therapeutics, focusing on haemato-oncology
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. Working as part of a collaborative and dynamic team, you will help ensure the smooth running of ECRI’s extensive programme of courses, events and tailored support, contributing to a vibrant and supportive
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event spaces. Your daily duties will include assisting users and maintaining devices and systems including Crestron control systems, PCs, data projectors, microphones, cameras, lecture capture, and other
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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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of associated tools Co-ordinate and support content creation to underpin change activities of within both a project and programme environment Assist in the development and implementation of change communication
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remains inclusive, engaging, and impactful, you will draw on student feedback to help shape the programme whilst building strong relationships with faculty staff, external training providers, and internal
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About us: At King’s College London, our Engineering Team plays a critical role in ensuring our facilities are safe, efficient and well maintained to ensure our vibrant community is able to learn
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of documentation required to confirm local capacity, obtain R&D theme lead approvals, and collate the regulatory approvals needed to instigate straightforward clinical trials To assist in maintaining the records
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Science, but not necessarily in a health-related field. They will also help to further develop ML models to predict patients’ clinical outcomes. This is a full-time post, and you will be offered an a fixed