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Position Title: Research Fellow – Organ on a Chip About the Role We are seeking highly motivated and entrepreneurial Innovator Research Fellows to join a multidisciplinary team advancing the frontiers of organ-on-a-chip and AI-driven translational biology. This project focuses on the development...
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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and conduct experiments, operate specialised equipment, develop and implement experimental procedures, and support project delivery through effective scheduling and computational analysis. This role
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supportive team culture, and supporting the translation of programme outputs in collaboration with preclinical colleagues. The post holder will also communicate complex and conceptual ideas to diverse
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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mapping, data-driven mapping, and context-based programming with traditional (i.e. sketches, surveys) and advanced computer-aided design (CAD) tools. Applicants must have experience with qualitative
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, that means some museum and fieldwork!). Comparative analysis using advanced computational tools and wet lab techniques. Hands-on dissections of invertebrates for anatomical and physiological studies. Leading
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for presentations, meetings, or trainings. Physical Activities Ability to work in front of a computer for extended periods of time. Occasionally required to move about the office/campus. This position includes
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The post The Faculty wishes to recruit a Postdoctoral Research Fellow to participate in a 3-year research project into shape-morphing electromagnetic metamaterials and devices. This EPSRC funded post is available for start dates between 1st April – 1st July 2026. The successful applicant will be...
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. · Familiarity with digital technology for assessment, aging, neurodegenerative disease, and/or neuropsychiatric populations. · Experience with computational and statistical approaches for time series