28 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Aalborg University in Denmark
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learning, for offshore industrial produced water treatment processes. The developed methods/solutions should be tested and demonstrated on a globally leading pilot-plant sited at Aalborg University
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-Anthropology programme at Aalborg University. Your competencies Applicants should have a strong interest in human–robot interaction and collaboration and in the role of emerging technologies in healthcare
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applications Experience with at least some of the following methods is considered a significant advantage: Stem cell potency assays Cellular and molecular methods, including qPCR, immunohistochemistry, and
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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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scientific and technical supervision to students and technical staff. Facilitate collaborations and ensure alignment between experimental and computational research teams. Your competencies The ideal candidate
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competencies We seek applicants with a PhD in design, architecture, sustainable design, or related fields. Strong skills in qualitative research methods. Documented publication record and interest in circularity
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the following areas: Air and surface sampling of fungi in buildings and on materials Basic statistical analysis knowledge (R or similar) and multivariate statistical methods Cross-disciplinary research
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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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Postdoctoral Position in Participatory Design of Autonomous Drone Systems and Human-AI Collaboration The Human-Centered Computing Group at Aalborg University (AAU) is seeking a talented postdoctoral
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to developing methods and tools that support a cost-effective, flexible and sustainable integration of cooling in future energy systems. Your work will be structured around two strongly interconnected research