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are software representations of physical assets, processes, or systems. They leverage real-time data to mirror the behaviour and characteristics of their physical counterparts, enabling predictive maintenance
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experience required can be found in the Job Description document. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a
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. The laboratory currently hosts three PhD students and six postdoctoral researchers, bringing together an interdisciplinary team with backgrounds spanning chemistry, biology, physics, and engineering. This
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the stated framework of the research project (max. 1-2 pages). Please note that although the application process can be completed on the Aarhus University system without uploading publications or a teaching
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to the other phases of the research process, including in-person consumer testing of final prototypes, and to support the assessment of market trends, entry potential and societal positioning of fermented plant
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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are conducted in an international and multidisciplinary environment, bringing together expertise from across Europe in electrochemistry, energy storage, power electronics, process engineering, smart sensors, IoT
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developers, and technical staff to improve instrumentation and user workflows Collect, process, and interpret SCXRD data for academic and industrial users Perform synchrotron-based single-crystal X-ray
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environmental science, physics, chemistry, mathematics, engineering or similar. You need to demonstrate experience with collaboration and presenting works at international conferences and leading manuscripts
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recruitment process, please contact HR-Coordinator Maria Løvgaard Bodin, Tel.: +45 8715 3445, Email:[email protected] Place of work Aarhus BSS Department of Management Universitetsbyen 61 8000 Aarhus C Denmark