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16 Apr 2026 Job Information Organisation/Company Academic Europe Research Field Physics » Condensed matter properties Physics » Quantum mechanics Physics » Applied physics Physics » Other Researcher
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental
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storage, compression, and transfer systems suitable for large, long-duration experiments. • Build complete, user-friendly data-analysis workflows from preprocessing through visualization, and train
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of hybrid AI-optimization modelling. This position focuses on the design of AI-based surrogates of large-scale energy system models and will be integrated in the activities of the Nexus-e group with close
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are considered during the evaluation of applicants of all genders. Information on your application Applicants are kindly invited to submit their applications, which should include: • a cover letter (max. 1 page
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disciplines. Desirable Skills and Experience (any of these skills help your application, but are not essential) Research Data Management: Experience with large-scale data curation, FAIR data principles, and
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-matter interactions, development of automated AI/ML systems for novel materials processing and quality insurance. The lab combines additive manufacturing, large scale laser micro-processing, multiscale
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running data-driven or hybrid hydrological models Strong programming skills (ideally in Python and/or R) Experience in working with large datasets, ideally hydrological, meteorological or climate
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AI & LLM Systems Project background We are looking for a Senior Research Engineer to build next-generation AI systems that bring large language models into real-world manufacturing environments. In
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and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python) are desirable. You work independently, communicate effectively