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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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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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, Python, or similar tools). System and control engineering (e.g. digital twins, model predictive control) –pre-knowledge in techno-economic analysis is an advantage. Strong analytical skills and a
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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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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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to develop new methods. The proteomics data will be used in combination with protein structure predictions and functional studies to understand the structure, function, and assemble of multimeric protein
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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