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are not limited to) challenges for quantum computing and communicating systems: - Design and semantics of distributed quantum programming and modelling languages - Sound and complete deduction methods
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theory, and is expected to have experience with the practical implementation of control algorithms. Who we are Learning and Decision at AAU, founded in 2020, focuses on developing mathematical methods
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characterization of lithium-ion and post-lithium-ion batteries, as well as solid oxide electrolysis cells (SOECs). The role also includes developing performance models and state-of-health estimation algorithms
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Foundation RECRUIT grant ("Data Management, Algorithms, & Machine Learning for Emerging Problems in Large Networks – with Interdisciplinary Applications in Life & Health Sciences". NNF22OC0072415
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measurements and interpreting complex data using advanced post-processing techniques (e.g., Distribution of Relaxation Times or DRT). The postdoc will also contribute to the development of an experimental setup
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been compromised but is generating bening outputs, e.g. via computational linguistic analysis of output space distributions Linguistically motivated methods for analysing and securing LLM behaviour
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- at a management level - for the future. The network investigates how Public Interest Media can remain relevant, sustainable, and impactful by transforming how content is produced, packaged, distributed
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obtainable using the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. Furthermore, the postdoc will aid in
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obtainable using the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. This postdoc position will utilize
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the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. The postdoc will be part of the Microbial Metagenomics group