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energy system is undergoing a fundamental transformation driven by the rapid integration of renewable energy, electric vehicles and large-scale AI data centers. Power electronic converters play a pivotal
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data-driven and environmentally responsible maintenance of urban drainage infrastructures. The overall goal is to reduce pollutant loads to coastal and marine environments while supporting sustainable
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Architecture, Planning and Management at the Swedish University of Agricultural Sciences (SLU) seeks a driven and committed PhD student with a focus on how governance structures, decision flows, departmental
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nutrient cycles and producing renewable energy and nutrient-rich biofertilizers. Biogas production also contributes to increased preparedness and self-sufficiency. The biogas process is driven by complex
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statistical software; experience with remote sensing, image analysis, crop modelling or other quantitative approaches relevant to crop research; and experience of scientific writing and communication. We place
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: Participating in the planning and execution of preclinical studies of targeted radiopharmaceuticals. Working with experimental tumor models, including cell culture, establishment of tumor models, and monitoring
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(USBE) is recruiting one to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We
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to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We are seeking one to two PhD students
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to the development of next-generation approaches for marine environmental assessment and sustainability, working at the interface of environmental systems science, marine technology, and data-driven research within
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 3 days ago
) establish and validate meaningful threshold for cognitive tests and BBMs against reference methods such as CSF proteomics; (III) support the data-driven implementation of relevant biomarker modalities in