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, complex datasets from multiple sources Integrate and harmonize data using semantic data linking (ontologies/knowledge graphs) to create decision-ready information Design and prototype scalable workflows
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mental health omics data more harmonized, accessible, understandable, and useful to researchers, clinicians, industry, and people with lived experience. You will work closely with a multidisciplinary team
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to evaluate. The main research question is how to automatically harmonize the retrieved information allowing a unique analysis and to map them against multiple user-tailored outputs. This is necessary as the
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research themes include: off-momentum collimation in merger and arc sections, influence of higher-order magnetic harmonics, alignment errors and mechanical tolerances, wakefield effects in beam combination
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | 2 months ago
models as predictive tools to address questions regarding the response of deep-sea ecosystems to various pressures. A key question addresses the best combination of ML and network analysis to maximize
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of systems. We develop methods to advance sustainable energy and chemical process systems from the molecular to the scale of the systems. Our work combines process analysis and system modeling to design
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work will be focused on metals, pesticides, microplastics, PFAS, and nutrients. Key Goals: collection of known pollution-biota interactions (reviewing, organization and harmonization into a database
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frameworks. Collecting and harmonizing data from case studies and databases (e.g., ecoinvent, OBIS, WoRMS) to support robust, scenario-based environmental modelling, including prospective LCAs. Exploring
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well as features representing regional function; developing and testing methods for regional blood flow and ventilation; and utilizing output of quantitative image analysis methods together with subject demographic