176 engineering-computation-"https:"-"https:"-"https:"-"IMEDEA-CSIC-UIB" Postdoctoral positions in Denmark
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jointly hosted by the Department of Chemistry and the Department of Biological and Chemical Engineering, and will be embedded within the Partoon and Daasbjerg Groups at the Novo Nordisk Foundation CO
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Job Description If you are establishing your career as a robotics scientist and engineer and want to work at the cutting edge of autonomous robotic manipulation in harsh, unstructured environments
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. The position is a three-year role, located in the Department of Computer Science at Aalborg University's Technical Faculty for IT and Design. In addition to the Department of Computer Science, the project
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Job Description The Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU) invites three excellent candidates to join our team for three full-time Postdoc
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modules that enable engineered T cells to detect intracellular cancer antigens, expanding CAR-T and similar technologies beyond surface targets. You will help develop new and optimise existing computational
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The Department of Business Development and Technology at Aarhus University invites applications for an 18‑month postdoctoral position in AI Ethics for the Public Sector, starting 1 September 2026
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approaches are transforming how next-generation biologics are discovered and engineered. We are launching an ambitious research program centered on AI-driven generative protein design to develop GPCR-targeting
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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. We expect applicants to hold a PhD in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, human-robot interaction, digital health, anthropology
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, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep