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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
-disciplinary analysis, modeling, and development of continuous improvement loops that advice researchers of possible solution pathways. At AU, a digital twin platform software called the Digital Twin as a
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-disciplinary analysis, modeling, and development of continuous improvement loops that advice researchers of possible solution pathways. At AU, a digital twin platform software called the Digital Twin as a
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Learning for Emerging Problems in Large Networks – with Interdisciplinary Applications in Life & Health Sciences". NNF22OC0072415). The position is open for appointment from Feb 1, 2026 or soon thereafter
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. Experience with safety-critical control systems. Experience in programming and developing maintainable software. Furthermore, the successful candidates are expected to: Have excellent knowledge of English
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networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome sequencing, and
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International networks and collaborations Experience, skills and achievements that demonstrate the ability or potential to engage in activities with actors outside academia to enhance the impact of research. In
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MSc/BSc students working on parallel topics in photocatalysis and prebiotic reaction networks. You will be encouraged to shape your own research direction within the scope of the ERC project
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facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in
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, mentoring, research dissemination, networking, manuscript drafting etc. Engagement in cutting-edge research in an emerging area of metabolism, with high potential for discovery and future applications
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resolution, to elucidate function and phenotypic variability, to achieve whole-cell understanding of how gene regulation, cellular networks, and physiological processes converge to drive metabolic dysfunction