49 data-"https:"-"https:"-"https:"-"https:"-"Stanford-University" positions at Aarhus University in Denmark
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acquisition, delivery, installation, and training. Set up and maintain the facility website and user interface (application forms, training information, scheduling). Master operation of the instrumentation and
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description We invite applications for a 2-year postdoctoral position with the possibility of extension. The successful candidate will lead experimental campaigns and data analysis to quantify greenhouse gas
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and Information Studies at the Faculty of Arts. The assistant professorship is a full-time, three-year fixed-term position. Subject to the availability of funding, there will be an opportunity to apply
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reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation
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. Interdisciplinary collaboration is central to our culture. BCE maintains strong partnerships across Aarhus University, including with the Departments of Mechanical Engineering, Electrical and Computer Engineering
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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publication record in the relevant area. Proven ability to conduct independent research and analyse experimental data. Experience in teaching at the undergraduate level. For non-Scandinavian candidates
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professor, but may also be obtained in other ways. The applicant is required to have completed a university pedagogical programme or an equivalent programme. Further information on the appointment procedure
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international partners for research projects Regular administrative tasks such as data entry, data gathering, and testing interfaces. Assistant with planning and working events hosted by the department Who we
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals