56 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"J.-F" positions at Aarhus University in Denmark
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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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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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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
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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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analysis of metagenomic data. The ability to take initiative, direct your own work, and take ownership of a research project. Personal competences Strong interpersonal and collaborative skills. An inclusive
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graduated ("ranks as no. 6 out of 111" or "ranks as among the best 8 percent") or if that is not possible, general information from your University as to how grades were distributed in the year of your
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and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and