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to investigate degradation mechanisms in depth using advanced analytics, signal processing, and frequency-domain diagnostics based on electrochemical impedance spectroscopy (EIS). The overarching goal
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are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab
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. The Postdoc will conduct research on methods to enhance the performance, safety, and lifetime of lithium-ion batteries by integrating physics-based modeling with data-driven approaches. The work will include
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600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading
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competencies The ideal applicant profile should demonstrate expertise in one or more of the following areas: optimization algorithms (heuristics, metaheuristics, exact methods), learning-based approaches
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, starting on 1 January 2026 or soon thereafter. The position is available for a period of 18 months, with the possibility of extension based on performance and contributions to the DK-Future project. The
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, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within
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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