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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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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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with Professor Georg Madsen and colleagues at TU Wien and with the CENSEMAT team at Aarhus University, including participation in regular shorter research stays in Aarhus. Communicate results through
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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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WRF and WRF-Chem • You will be working in an aerobiological research group funded by the Novo Nordisk Foundation containing two additional post docs, a PhD student and a professor. This teams covers
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engagement tools, citizen science, and a rigorous evaluation of engagement pathways. The AU team is led by Professor Polymeros (Pol) Chrysochou. Job description We are seeking a highly motivated Postdoctoral
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professors in medical physics, two clinical professors (MDs), one full-time professor in radiobiology, and eleven associate/assistant professors in medical physics or oncology (most of the latter in part-time
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facilitator Associate Professor, Marija Banovic, Tel.: +45 52609827, Email: [email protected] If you need help uploading your application or have any questions about the recruitment process, please contact HR
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, 2026. Further particulars on the position may be obtained from Arthur Hermes Hjorth, [email protected], or Professor Jessica Aschemann-Witzel, [email protected] If you need help uploading your application
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nitrogen dynamics, and climate change mitigation potentials in agroecosystems. You will be contributing specifically to the area of regional simulation using process-based models and advanced statistical