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of business models supporting flexible energy production, storage, and consumption Techno-economic and operational analysis of flexibility strategies and digital market mechanisms Expertise in hardware-in
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laboratory techniques and data analysis (ICP-MS, LC-MS or GC-MS) Preferably experience in scientific publication Skills and interest in teamwork and interdisciplinary collaboration Skills and interest in
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ensuring accurate and efficient analysis of system behavior under various conditions. Dynamic equivalents enable faster and potentially more reliable stability assessments, which are vital for integrating
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R Experience with single-cell RNA-sequencing, in particular analysis of data would be an advantage Experience with mouse models and possession of a FELASA B certificate would be an advantage as both
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, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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hands-on experience in molecular cloning, cell culture systems, mouse models, and interest in liver disease biology. Experience with R or Python and the computational analysis of next-generation
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in teaching (preferably in science, science communication, or higher education) experience with immersive technologies (e.g., XR/VR/AR) and/or multimodal data analysis (e.g., eye-tracking, gesture
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(e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024. MYC activity at enhancers drives
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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-cutting and bending to break the glass panels. The project will involve the establishment of a numerical model and the acquisition and analysis of data from physical measurements in the production