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If you want to pursue a research career at the intersection of additive manufacturing (AM), microstructural engineering and advanced statistical/machine-learning (ML) based modelling, then this PhD
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Aalborg University’s problem-based learning (PBL) model. The position is anchored in the HumanMachineInteraction research environment at Department of Architecture, Design and Media Technology at Aalborg
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) for measuring the quality, shape and the neutron focusing performance of the Wolter optics. The work will be performed in close collaboration with a postdoc who will work on simulating the optimal design of
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a researcher or postdoc. To be appointed as a senior researcher, you must have completed a didactic/pedagogic education. If you do not have the necessary education, then it is possible to complete
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, they are ill-suited for inference about system's health in rapidly changing environment of wind turbines. Although physical laws can be enforced to learn a model whose parameters can be physically interpreted
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. To do so, you will combine atomistic simulations (density functional theory and ab-initio molecular dynamics simulations) with new machine learning models to parameterize machine learning force fields
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Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern
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well as experience with cryptographic engineering. Responsibilities and qualifications You will work alongside the 4 permanent researchers and currently 6 PhD students and 2 Postdocs in the Cryptography Group at DTU