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submit an application via the Queen Mary Portal and upload a copy of your CV. Please do not upload copies of research papers. About the Institute The role will be based in the Digital Environment Research
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on the creation of an online platform which will house born-digital editions of papyri and related material in Greek, Latin, Demotic and Coptic, as well as images and 3D reconstructions of relevant artefacts. You
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which area you’re applying to (AI & Epidemiology, Phylodynamics & Human Mobility, Climate & Infectious diseases, Global health digital data science), as well as your preferred starting date. We
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. Responsibilities include: Developing blockchain-enabled digital passports for industrial robots Designing predictive maintenance systems using AI Leading system integration and validation with consortium partners
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, Phylodynamics & Human Mobility, Climate & Infectious diseases, Global health digital data science), as well as your preferred starting date. We are looking to hear what major scientific question motivates you and
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, imaging and communication systems and (ii) Leonardo UK, providing application expertise and end-user feedback. The applicant will be expected to work directly with Dr. Yoann Altmann, Prof. Steve McLaughlin
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developing Digital Twins and Data Processing with ML. C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent communication skills (oral and written), including public
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building to embed and exploit these technologies for long-term growth. AMMIC will contribute to net zero, develop industry digital skills, improve efficiencies, and create increased international
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/administration arising from research as required (e.g. writing reports, writing lab protocols, curate data in digital platforms, etc). Undertake careful and regular data management and curation, of own data and of
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responsibility for carrying out research for a new Wellcome Trust funded project that uses high-field 7-Tesla MRI, cognitive neuroscience tools, neurofeedback training and digital phenotyping to characterise