Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
measured data, apply necessary filtering and selection of data features to be stored. Couple the numerical model and the measured input data to establish a model that can predict the outcome in terms
-
research in the field of modern high voltage polymer electrolytic capacitors, develop models for lifetime prediction, methods to predict and test for reliability, understand physics of failures at elevated
-
employing an integrative approach involving protein structure prediction by AlphaFold 3 combined with crosslinking/mass-spectrometry and single particle cryogenic electron microscopy on native or recombinant
-
. The fellowship will focus on the damage evolution and formation of fractures in ice sheets. The successful applicant will be part of the research center PRECISE (PREdicting Changes in Ice Sheets on Earth) (https
-
group is focused on developing new computational methods for the prediction of chemical reactivity. The group is a part of Department of Chemistry, Faculty of SCIENCE, University of Copenhagen. We
-
could include: Algorithmic Transparency and Fairness in Funding Decisions Comparative Analysis of Funding Models AI-Driven Predictive Analytics for Funding Success Policy Implications and Recommendations
-
results with AI models and system simulations to create a digital twin of the PtX process for predictive optimization and scenario analysis. Funding This PhD position is generously funded through the Villum