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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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to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information
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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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of the Iversen group. The candidates must have a PhD in chemistry, crystallography, physics, materials science or similar. About us The Brummerstedt Iversen group is a diverse and competent team of students and
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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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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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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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Researcher with a passion for consumer research and sustainability to contribute to AU's work package on consumer engagement, as outlined above, and to help translate the findings into publishable research
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. Collect and process environmental and insect samples for DNA sequencing. Analyse microbial communities associated with freshwater habi-tats and pollinators. Direct and support to the analysis of high