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-based programme designed to enhance person-centred care for people with advanced dementia in nursing homes. We are seeking a Post-Doctoral Researcher with graphic design skills to help develop and
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will work closely with Prof Eleanor Bantry White and collaborators within multiple disciplines including Computer Science and Information Technology. A core focus of the role will be participatory
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2 Years, Fixed-Term, Whole-Time Post Position Summary INFANT is now accepting applications for a Signal Processing Engineer to support the work of the ELEVATE programme. The ELEVATE programme aims
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consequences of preterm delivery and caesarean section. The programme is highly interdisciplinary, combining preclinical animal models with molecular and cellular biology, biochemistry, and behavioural science
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7 Months, Fixed-Term, Whole-Time Post Position Summary As evidenced by a growing body of literature, the gut microbiome plays an important role in inflammatory bowel diseases. However, the large microbiome datasets collected of patients with these multifactorial and heterogenous diseases require...
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(awarded) in Computer Science, Computational Linguistics or other closely related areas; • Technical skills in Server/VM management (Linux, cloud services, security); • Proficiency in Mobile app
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4.5 Years, Fixed-Term, Whole-Time Post Position Summary Applications are invited for an experienced multilingual Digital Humanities / Computer Science Postdoctoral Researcher to lead development
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handling, computational biology such as RNA sequencing and metabolomics and analysis of large datasets will be highly valued. The appointee will work directly with the Aburto Lab group. Our work focuses on
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Biomethane Biorefinery systems (CABBS). Such a system incorporates Anaerobic Digestion with photosynthetic biogas upgrading technology for the co-production of biomethane, food and/or feed, biochemicals and
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computational tools to support a rational and science-based approach to selecting formulations for critical medicines in developing countries. Project Title: Use of AI and Machine Learning to Accelerate