11 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "https:" Fellowship 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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community?’, and ‘How have you contributed to broader society?’ See here for more information about these questions: https://royalsociety.org/topics-policy/projects/research-culture/tools-for-support/resume
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, engineering, psychology/HCI, computer science, or related discipline). For the appointment as the Research Fellow, a PhD degree is essential. Demonstrable experience coordinating complex projects or programmes
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. The Research Fellow will work closely with the wider team to contribute to day-to-day operations for DIGIT-MHG: leading the construction and maintenance of an interactive capabilities database, preparing
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for scholars to develop the potential of their research across multiple fields and audiences. During the fellowship the successful candidate will contribute broadly to our pedagogical offering across Greek and
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, tissue engineering, device and diagnostic technology development, and clinical research. Strong educational support is provided to both undergraduate and postgraduate students and we seek to appoint
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across multiple workstreams to support the delivery of high-quality, innovative research. The role will involve contributing to research strategy and planning, fostering a productive, inclusive, and
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management and pharmacovigilance structure is in place. They will be expected to pursue academic and managerial activities at the highest level with autonomy in a position of authority with executive
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growing team of researchers, including multiple academics, consultants, PhD students, and administrative staff. The Research Fellow will be responsible for building and expanding the net assessment network
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and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data and preparing publications for other