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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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to investigate how the ice sheet and ocean have varied and interacted beyond the relatively short observational period. As a PhD fellow, you will develop high-resolution reconstructions of Greenland
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of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from the department have established companies to develop new medicinal treatments
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, phone: +4522365482, email: [email protected] What we offer A well-developed research infrastructure, laboratories and access to shared equipment and animal experimental facilities An informal
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, processes, and practices, and how educational institutions prepare students to navigate these changes and contribute to the development and implementation of AI. The project may draw on perspectives from
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Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation, power conversion, energy and
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and methodological analysis of how landscape change influenced the historical development of environmental anthropology in the Kalahari and should be prepared to work in a collaborative research team
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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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Technology. Applicants must be capable of, and interested in, conducting and developing basic and applied interdisciplinary research of high international standard in the field of food processing and
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of Things (IoT) systems. More details about the project can be found at the end of the announcement. TEGnology develops thermoelectric battery-less sensing solutions targeting long-term, maintenance-free