16 development-"https:"-"https:" Fellowship positions at King's College London in United Kingdom
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tasks as directed by Head of Department, and contribute to departmental events and activities, including attendance at departmental meetings and open days. You will contribute fully to developing and
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The King's Early Career Development Fellowships are 10 fixed-term posts (2 three-year posts; 8 two-year posts) providing promising early career academics with opportunities to develop as an educator and
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Classics Department is seeking to appoint an Early Career Development Fellow in Classics for a two-year period. The Fellow will conduct research, produce research publications, deliver teaching, and provide
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fixed term contract until 31st March 2030. We are seeking an experienced data and infrastructure specialist to lead the development of a national database supporting UK mental health research capabilities
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of future food and alternative proteins, priority areas of interest are highlighted below: Cultivated meat: examples include a research program on cell line development, cell engineering, process optimisation
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building
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to significantly grow the brain tumour research community in the UK, train outstanding health care professionals and offer better care for patients in the UK. About the role: This Post CCT Fellowship is for
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. They will take a proactive role in the conceptual and operational development and implementation of the A-STAR register and drive forward initiatives as well as implement strategies to achieve the project’s
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2026. The Fellowship provides a development opportunity to an early career researcher with exceptional potential in legal or political philosophical research and scholarship. The successful applicant
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health. The post holder will develop innovative AI techniques approaches applied to oral healthcare, with a particular focus on Large Language Model-based multimodal data understanding and reasoning