407 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"CUBO" Fellowship positions in United Kingdom
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requires you to work within the Public Health Institute. The role is to develop and conduct the research involved in a variety of projects including: The WHO/EU ACEs in Europe Programme; the VISION (UK
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undertaking a specified range of activities within an established research programme and/or specific research project. Role Summary Work within specified research grants and projects and contribute to writing
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once the 2026 call is launched). All potential candidates are encouraged to carefully check the full candidate eligibility criteria in the Horizon Europe Work Programme - 2026-2027 - Marie Sklodowska
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Robert Gordon University (RGU). METASIS is a collaborative research programme advancing next-generation solid oxide steam electrolyser (SOSE) technology for clean hydrogen production. Led by Robert Gordon
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Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families . Find out more
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of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity
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Queen's University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical
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candidate will contribute to an interdisciplinary research programme focused on the design, synthesis, and characterisation of liquid metal nanomaterials as catalytic artificial enzymes for biomedical and
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, independent research programme through a three-year Research Fellowship. We are seeking driven researchers with a strong and growing track record who will enhance and extend the Centre’s existing research
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during