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Institute at the University of Galway, Ireland. This position is funded by PEACEPLUS PROGRAMME (Special EU Programmes Body) innovation challenge (www.seupb.eu/peaceplus) on the Technological Revolution
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. The Department is also part of the Austrian Science Fund Cluster of Excellence "EurAsian Transformations" and hosts both the Center for Interdisciplinary Research and Documentation of Inner and South Asian
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Department of Science, Innovation and Technology, with a mission to equip governments with a scientific understanding of the risks posed by advanced AI. The WearAI project is investigating the societal
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Position Summary Can you make an invaluable contribution
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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The Role Applications are invited for a Postdoctoral Research Associate in the field of agent-based modelling of past societies, working on the Science, Society and Environmental Change in the First
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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, microscopy, flow cytometry and quantitative real-time PCR. You will have a strong track record of writing papers as evidenced by publications or submitted manuscripts in scientific journals, and have evidence
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse