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microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM components are in use
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thereafter. The project UP2MEN will train 15 doctoral students to face the complex challenge of predicting the impact of pollutants on the environment and water reuse as well as the recovery of valuable
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date is (expected to be) March 1st 2026 or as soon as possible thereafter. The project UP2MEN will train 15 doctoral students to face the complex challenge of predicting the impact of pollutants
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machine learning techniques to develop local graph representation models, which will be aggregated globally to enhance their predictive power and translational relevance, all while maintaining strict data
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of electrodes and to map electrolyte chemical composition in micrometer resolution, allowing validation of the model predictions. Validation and evaluation of the RFBs with optimized hierarchical electrodes. Job
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latest predictive and generative AI for materials, we can offer you the best possible foundation. We seek two highly motivated and talented PhD students to join our group at DTU Compute, and we offer
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Foundation, Region Midt, Helsefonden and Reisby Fonden. Project holder is the classical ensemble Lydenskab. Musical Alliances conducts co-creative workshops with people who hear voices and the professionals
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University. The project Musikalske Alliancer, is funded by the Augustinus Foundation, Region Midt, Helsefonden and Reisby Fonden. Project holder is the classical ensemble Lydenskab. Musical Alliances conducts