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-making (e.g. nonprofits soliciting bequests towards environmental causes) - policy, legal and social discourses on the welfare and rights of future human generations and non-human entities Applicants must
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. The successful candidate will contribute to a collaborative research programme with an industry partner, focusing on modern, scalable recommender systems, including behavioural modelling and generative methods
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and generative methods, with the goal of delivering impactful research outcomes and publications at leading venues. You will work closely with Dr. Aonghus Lawlor (PI), alongside other postdoctoral
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. The Intelligent Efficiency Research Group (IERG) The Intelligent Efficiency Research Group (IERG) at University College Cork is an award-winning team of PhD and master’s researchers advancing the next generation of
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Benefits Competitive salary and excellent suite of benefits including pension, private health insurance, income protection scheme, 25 days annual leave plus up to 3 additional company days off, generous
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they will focus on developing microneedle skin patches to deliver next generation malaria vaccines based on newly identified antigens and newly licensed adjuvants. The research will involve designing, testing
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of your own and general staff welfare and safety. Undergoing programmes of training and development as may be required from time to time. Representing the best interests of the Department/College at all
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to support small-scale hydropower generation and community-centred energy transitions. The project integrates research, education, skills development, and community engagement through a dedicated Waterways
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fantastic benefits available: Health and Wellbeing: Our Inspire Programme promotes the importance of taking care of both our general health and mental health. Inspire manages the Employee Assistance Programme
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large, multi-site human cohorts in Europe. The successful candidate will oversee the collection, processing and analysis of microbiome samples, ensuring harmonised protocols, high-quality data generation