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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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. 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 implementation of complex systems. We focus
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recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
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data from large scale DTU pilots Conduct pilot-scale CO2 capture experiments up to TRL7 Perform physical-chemical analysis of innovative solvents and gases The preferred candidate should have the
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experience should cover basic chemistry analytical skills to large scale pilot experience, hands-on, and data analysis. This includes experience on corrosion, kinetics, emission impurities, and solvent
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the monomers are reversible, making these polymer materials adaptive, healable, easy to process and recyclable. In this project, you will explore new types of stimuli-responsive supramolecular polymers
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in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our
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, proteomics) and bioinformatic analysis. Proficiency in data analysis, statistics, and excellent communication and collaboration skills are also desired. Excellent oral and written English language skills are a
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processes (e.g., application content, assessments committees’ refiguration and process) and 2) the outcome of evaluation and selection for diverse participants. The research will leverage artificial
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candidate will be hosted by the Visual Analysis and Perception Lab. You can read more about VAP LAB in Aalborg - an internationally recognized lab working on different aspects of AI. Focus has previously