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algorithms for physiological data Development of mobile applications for sensor integration and patient use Support in setting up cloud-based infrastructures for secure data collection and storage
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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
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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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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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side, you will investigate and develop data-driven methods for optimal and nonlinear control with a particular focus on dual control and on approaches to measurement scheduling and active sensing
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phoneme-level representations to improve intelligibility and robustness in challenging acoustic environments. Your work tasks In this role, you will be responsible for developing and implementing advanced
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appointment from January 1st, 2026, or soon hereafter. The Department of Architecture, Design, and Media Technology has as its goal the development of an innovative cluster of engineering-based environments
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physiotherapy to develop sustainable technological solutions. Our mission is to contribute to increased quality of life for the benefit of the individual human being and society. We take active part in
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01.01.2026 or soonhereafter in Aalborg. The position is available for a period of 12 months with the possibility of extension. PLAN conducts research and teaching on development and planning in a broad sense