36 parallel-computing-numerical-methods-"Simons-Foundation" positions at Aalborg University in Denmark
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. The topic of this Postdoc position is the development of data-driven methods to estimate river streamflowusingsatellitealtimetry. Particularly, the Postdoc willexplore hybrid deep learning models
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within the general study programme Electrical and Electronic Engineering, and available from January 1, or as soon as possible thereafter. The duration of the position is three years. In electronic
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development and clinical application. The Medical Informatics and Image Analysis group is a multidisciplinary group engaged in the development, evaluation, and implementation of advanced methods for analyzing
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to join our team working on next-generation speech enhancement technologies. The project explores innovative approaches that move beyond traditional reference-based methods, leveraging optimal transport and
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artistic co-creation can become a method for transforming the living conditions of voice-hearers in vulnerable positions, guided by the following combined research and practice questions: How can artistic co
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characterization in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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of this position is to strengthen our research in statistics, preferably within the current research areas of the department. This includes both fundamental and applied research (e.g., statistical methods
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. We have a keen interest in health promotion, prevention and treatment, and use methods from epidemiology, statistics, public health science, health services research, health science and humanities and
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of this position is to strengthen our research in statistics, preferably within the current research areas of the department. This includes both fundamental and applied research (e.g., statistical methods
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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