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possible thereafter. The successful applicant will join a vibrant research environment led by Prof. Nils J. Færgeman. The group currently consist of academic staff scientists, postdoctoral fellows, PhD
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the research group of Assistant Prof. Narcis-Adrian Petriman at the University of Southern Denmark (SDU), Odense, Denmark. The position is available from 1st of January 2026 or soon thereafter. Research Project
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information Further information about the position may be obtained from Assistant Prof. Julián Valero jvalero@inano.au.dk . Interested candidates are encouraged to contact for further details about the position
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simulation tasks. A key objective will be the development and testing of algorithms for gas hydrate phase equilibrium calculations. CapSim seeks to advance CO₂ capture simulation technology by enhancing
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and communication systems. You will work with real measurement data and participate in both algorithm development and experimental validation. You will collaborate with industrial and academic partners
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” led by Assoc. Prof. Robin Kaarsgaard . The project aims at introducing new abstractions, models, and programming languages that radically change how we can reason about and develop quantum programs
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. The supervision of undergraduate and graduate students and some undergraduate teaching can be expected. For further information please contact Prof. Christine McKenzie (mckenzie@sdu.dk ). Application, salary etc
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the differentiated cells, we explore how pathogenic calmodulin mutations impact cellular differentiation, development, and signaling. The project is a collaboration between prof. Michael Toft Overgaard and assist
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning