82 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in Denmark
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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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modelling is a bonus. Good verbal and written communication skills, especially in Danish, will also be valued. International applicant? Aarhus University offers a broad variety of services for international
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has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct
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Technologies (Ireland); and a network-wide training program. Responsibilities and qualifications The PhD scholarship is on the topic of “Carbon-Aware Neural Architecture Search (NAS)”. Most AI models are built
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, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will develop advanced research competencies alongside
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firn- and hydrology modelling. Your work will contribute observations that are essential for evaluating firn- and hydrological models and for understanding ice-sheet-wide change. Your results will be
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encourages scientific curiosity, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will develop
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
strong long-standing collaborations with the Danish Environmental Protection Agency, national and international research groups, the EU, and the OECD in relation to the development of international test
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. The project involves the development and modelling of hydraulic systems, with particular emphasis on energy-efficient system architectures and appropriate component selection. A key aspect is to incorporate
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to understanding and designing AI-supported collaborative learning environments and technologies. The lab investigates how students learn with, through, and around AI, and develops new human-AI-human interaction