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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
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institutions has received funding from the European Commission (Horizon Europe) for a large-scale, multi-disciplinary research project on the future world of work and social protection in Europe. TransEuroWorkS
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novel in-situ testing methodologies to observe deformation mechanisms at micro/nano scales. Data Acquisition and Analysis 25% Operate and maintain advanced experimental equipment, including but not
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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(Compute Data) Efficient at working with large datasets and synthesizing scientific literature Project management Self-motivated and deliverable-oriented Ability to work both independently and as part of
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care actually happens, and how it can be made better. This is a role for someone who’s excited to work with big, messy, real-world data — and who wants to do more than just build models. We’re looking
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of innovative mass spectrometry-based workflows and data evaluation tools. The developed metabolomic and exposomic tools will be applied to address pressing research questions at the edge of environmental/food
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project, including experiment conception, preparation and setup, data collection, and data analysis and interpretation. Provide support to collaborative research efforts, including experiment design and
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, collect and analyze relevant data. Qualifications For this position, applicants must have a PhD in sociology or another discipline that is deemed relevant in relation to the research being conducted within