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secure and efficient procedures for managing and storing large volumes of research data in various forms. We offer this opportunity in an engaging and inspiring research and educational environment with
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computing (HPC), and AI are strategic focus areas. At the department, you will be part of a technical team with other academic technicians, who work with large amounts of data, both from computational and
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research tasks related to the CULTS project. Main tasks include scraping (from open sources), organizing, and analyzing large amounts of rhetorical and behavioral communication (text data) of (primarily
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process engineering and covers a large part of the TRL ladder. This includes basic research as well as activities within demonstration and pilot-scale testing of renewable energy technologies. Co-operation
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Experience with GIS and remote sensing Ability to work with large and heterogeneous datasets Experience with scientific writing Excellent written and spoken English Further, we will give preference
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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Department of Ecoscience seeks a senior scientist to advance data-driven biodiversity science and strengthen advisory work. Join a dynamic research environment at Ecoscience, Aarhus University
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of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings
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working with research groups in academia Industrial experience designing and supporting large-scale projects Software engineering experience Experience with data communications, Internet of Things, and
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and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars