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footprint. This PhD is embedded in the Clean-Energy Transition Partnership “La-Flex ” with Norwegian, German and Danish companies and research institutions. A research stay at NTNU (Trondheim, Norway) is
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tutors are becoming embedded in everyday educational practices, altering how students read, write and learn, how educators teach, and how institutions assess and value student work. It is further an open
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printing, embedded sensing, and adaptive control, aiming to meet the unique challenges of automation in life science environments. Research tasks and qualifications The main purpose of this PhD position is
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- contributing knowledge that can help data centers and other high-energy users reduce their environmental footprint. This PhD is embedded in the Clean-Energy Transition Partnership “La-Flex ” with Norwegian
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for integrating heterogeneous data. Knowledge of Graph Neural Networks (GNNs) and graph embedding techniques (e.g., using PyTorch Geometric). Experience working with MS-based proteomics data and/or other omics data
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wound healing. Under the supervision of Asst. Prof. Konstantinos Kalogeropoulos and Assoc. Prof. Erwin Schoof, the PhD candidate will join the Protease Systems Biology group embedded in the Cell Diversity
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working with “DTU Smart Road,” a full-scale pavement research platform at DTU’s main campus that hosts embedded strain and temperature sensors. Experiments will also involve the development and installation
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models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train these methods in a closed-loop