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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and
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computational approaches to chart and understand the gene regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational
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The Centre for Computational Thinking and Design at the Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Networks and will contribute centrally to the computational and methodological development of the project. The postdoctoral researcher will collaborate closely with the project’s PIs Aglae Pizzone and Reka
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
well-developed research infrastructure, laboratories, equipment, and highperforming computing clusters. What we offer An exciting and intellectual position in a dynamic and collaborative research
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. The expected start date is 1 July 2026. Job description The successful candidate will join a research programme focused on understanding how post-translational modification (PTM) networks regulate protein
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Biotechnology Research Institute for the Green Transiation (BRIGHT) is developing novel methods to engineer proteins
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facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in
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facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in
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communication and computation co-design enables scalable interaction among networked AIs, paving the way toward embodied intelligence in large-scale physical systems. Your competencies Prospective applicants