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for wearable sensors that facilitate treatment of patients in a controlled clinical environment. The project will achieve this through exploring supporting the data management plan (WP1), and design iteration
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transfer solutions for a wearable sensor system that facilitates treatment of patients in a controlled clinical environment. The project will achieve this through exploring supporting verification and design
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qualifications, research experience,technical skills, publications and relevant achievements. •A cover letter, maximum two pages, outlining the applicant’s suitability for the role,relevant computational and
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implement a research programme in conjunction with the PI to derive, evaluate and possibly improve upon best-practice AI-supported code development and best-practice pedagogy in code development, towards
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, devising and applying a decision model, refining and conducting simulation studies, lead authorship of papers and reports, and presenting results to diverse stakeholder audiences. Applications
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to design, lead and implement a defined programme of research and full stack software engineering in support of the Abilta project, developing, evaluating and translating innovative AI-enabled
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innovation projects into SMEs across the border region. Essential Qualifications PhD in Electronic Engineering, Telecommunications, Computer Engineering or a related field or exceptionally, equivalent
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) and the Global Brain Health Institute (GBHI) partner under the umbrella of the Atlantic Fellows for Equity in Brain Health Program. One of the major challenges in advancing the fight against Alzheimer’s
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop