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study pre-PhD. Development, teaching, and operation (40%) Contribute to our extensive portfolio of tasks linked to the ongoing digital transformation of the degree programs at Aarhus University
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microenvironment including genomics, transcriptomics, lipidomics, metabolomics Perform molecular techniques including DNA/RNA isolation, PCR, ddPCR, RNA-seq, ATAC-seq and DNA methylation. Develop and/or perform
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, originality, and relevance of the research proposal academic performance in both bachelor’s and master’s degree studies evidence of a demonstrated ability to produce substantial written work, such as a master’s
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defining limit values suitable for use in LCA-based frameworks. The work may also address targets such as climate neutrality, net-zero, and regenerative performance, as well as methodological challenges
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computational biology. In this regard they must have demonstrable expertise with bioinformatics, evolutionary genomics, analysis of NGS based datasets, use of high-performance computing and preferably a keen
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
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, interdisciplinary working environment In-house modelling, data processing and data assimilation expertise, software, and High Performance Computation (HPC) infrastructure Excellent scientific infrastructure
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grow in complexity and scale, traditional monitoring approaches are insufficient to ensure efficient, reliable, and fault-free operation. This project will develop novel AI methods that bridge first
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levels of uncertainty, (ii) provide guarantees with respect to safety, performance, and comfort , and (iii) be implemented and evaluated in robot simulation environments (e.g., ROS/Gazebo, Isaac Sim
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design and operation of the offshore power supply system. Join this exciting academia–industry collaboration to reduce emissions from idling vessels anchored between operations and help shape a scalable