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for optimizing metals 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
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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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functions of single nanoparticles as well of ensembles with varying number of nanoparticles. Advancing the understanding of corporative interactions in nanoparticle catalysis, including ensemble-averaging
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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
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characteristics predict the intensity, valence, and role (tool or companion) of everyday chatbot interactions over time? Within the aims of WF2, the PhD student is expected to propose and refine their own approach
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modifications using high-resolution mass spectrometry and AI-based de novo peptide sequencing. Develop and apply machine learning models to predict protease activity and substrate specificity, integrating protein
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safely share data while maximizing utility–privacy trade-offs. Decision-support pipeline: fuse predictive and prescriptive analytics, so that forecast providers and aggregators can maximize the value
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inhibitor candidates with high predicted affinity and selectivity. These designs will then be experimentally validated through a combination of affinity binding assays, enzymatic activity measurements