26 computational-complexity-"U" Postdoctoral positions at Aarhus University in Denmark
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
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The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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Join the Golden Matrix Team at Aarhus University The Center for Humanities Computing at the School of Culture and Society at Aarhus University invites applications for a two-year postdoctoral
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experience with QA/QC of chemical analyses, be comfortable with method development in a trace level laboratory including method validation requirements, be familiar with PFAS complexity as a major pollution
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reaction engineering. Proficiency in Aspen Plus or similar process simulation tools. Experience with techno-economic assessments (TEA) of complex chemical or biological systems. Familiarity with CO₂ capture
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variable and climate-sensitive ecosystems, which poses great challenges for their mapping. You will be part of a research project aiming to unravel the complex interactions within peatland ecosystems using
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main
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environment in which that balance can be maintained. You can read more about family and work-life balance in Denmark. Aarhus University also offers a Junior Researcher Development Programme targeted at career
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complex experiments, including timelines, resource management, and troubleshooting. Skills in histology, microCT, microscopy (e.g., confocal, fluorescence) and optionally microbiology. Knowledge and
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling