338 evolution-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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Field
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the further development of doctoral work or an entirely new area and which promises to make a valuable contribution to the candidate’s field. This is a temporary, four year fixed-term position with a salary of
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either be the further development of doctoral work or an entirely new area and which promises to make a valuable contribution to the candidate’s field. This is a temporary, four year fixed-term position
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development Aeris Dynamic will be seeking to license the technology from SIT and Research Engineer (RE) will have an opportunity to join them as a permanent staff. Key Responsibilities Participate in and manage
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activities and research-related administration Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision
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Fellowship Academy, designed to provide targeted development and support for researchers with outstanding potential, including a Fellows’ Network and bespoke mentoring. The Queen’s Global Challenges themes
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at the University of Nottingham. The ideal candidate is highly organised and detail-oriented. They should have proven experience in synthetic biology/microbial metabolic engineering and bioprocess development
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interviews and the development of a Reuseable Learning Object (Ethics Training Module). The projects represent 50%:50% split across this role. This role provides an exciting opportunity to work with
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theory of vertex operator algebras. Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities
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for a net-zero future. Key deliverables include performance evaluations, financial modelling, and the development of best practices leveraging emerging technologies like on-premise AI-driven analytics and
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Chemical Engineering and will contribute to the digital tool development within two EPSRC funded projects: IDEA: Inverse Design of Electrochemical Interfaces with Explainable AI (grant number EP/W03722X/1