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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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in a changing climate. The position is supported by extensive research infrastructure, including long-term field trials, national datasets, laboratories, and advanced models. As a member of IGN’s
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section Energy Technology and Computer Science, where you will have around 20 colleagues with a mix of research and industrial experience. We work with research, innovation, technology implementation, and
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academic and industrial domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape
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are to support the integration of computational workflows, data pipelines, and interactive dashboards, within research projects (including population surveys and randomized trials). Your main responsibilities
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samples, by the development of advanced computational multiphysics models of stress corrosion cracking and coupling these with process-microstructure models (being developed within MicroAM project). Main
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usually have components in all the disciplines: applied data analysis, development/application of advanced statistical methodology, coding of algorithms and computer simulation, and writing of research
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Start: July 1 Duration: One-year full-time appointment Project: Danish Foundation Models Location: Center for Humanities Computing, Aarhus University Job Description: We seek a highly motivated IT
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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both technical insight into data modeling and a solid understanding of how real-world engineering data is generated, structured, and used. We are seeking motivated candidates with strong programming