32 parallel-computing-numerical-methods research jobs at Aalborg University in Denmark
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computational methods to predict novel, disordered materials with application, e.g., for solid electrolytes in next-generation batteries. The position is part of the Villum Young Investigator project titled
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
materials, including their hygrothermal properties, durability, and performance limits in building applications. Competence in laboratory testing and development of test methods is essential, as is experience
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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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methods, design interventions, and digital/computational methods to engage users, publics, and partners in exploring dilemmas, controversies, and paths to sustainable and desirable futures. We strive
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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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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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of the DfS research group is to contribute to circular and sustainable transition processes through innovative and action-oriented research that contributes to methods and frameworks in the emerging field
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performance evaluation. You can formulate relevant research questions, select suitable methods and communicate your results clearly in both written and oral form. You have documented project management
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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