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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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research in Time Series Analysis and Econometrics with focus on one or more of the following key research areas: Nonparametric estimation. Machine learning methods in econometrics and time series analysis
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PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
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student and group supervision using PBL methods, is expected. In addition, experience with formulating research ideas and contributing to grant proposal writing will be considered an advantage. • A
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to developing methods and tools that support a cost-effective, flexible and sustainable integration of cooling in future energy systems. Your work will be structured around two strongly interconnected research
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quantitative research methods, or the ability to combine different methodological approaches in interdisciplinary research, will be considered an advantage. Experience with research project development
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The Technical Faculty of IT and Design, Department of Computer Science, Section for Copenhagen, Human Augmentation and Collaboration research group The Department of Computer
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-experimental data from five countries. Methodologically, the project designs and implements survey experiments and other causal inference methods (e.g. difference-in-differences and synthetic control). Your
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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Assistance in Complex Acoustic Environments within the general study programme Electrical and Electronic Engineering. The PhD Stipends are open from August 1, 2026, and the integrated PhD stipends are open for