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, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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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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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
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Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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degree in Computer Science/Software Engineering or related areas. Research expertise with background in at least two of the following areas: Cybersecurity, Block-chain, Cryptography (e.g., Multi-Party
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Job Description If you are excited by the challenge of understanding extinction through cutting-edge computational approaches, this postdoc offers a unique opportunity. You will help develop a
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the AU Flakkebjerg campus in newly renovated offices with well-developed research infrastructure, laboratories, equipment, and highperforming computing clusters. Place of work The place of work is C.F