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with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable
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research in innovative algorithms for the analysis and interpretation of medical image data to support computer-aided disease diagnostics and intervention planning. have an established track record
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achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
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the framework of the IDUN section. In IDUN, our motto is ‘bringing science to life’ and we believe in openness, inclusiveness, having ambitions, making a difference and collaboration. You will play a role in
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the Section for Aquaculture, located at our campus in Hirtshals in the beautiful Northern part of Denmark. The section is a vibrant international group that holds a strong expertise in the different aspects
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funded by the Independent Research Fund Denmark. The project aims to develop a method for integrating various sources of evidence and accounting for different levels of certainty in environmental burden
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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. You have great collaboration skills – and you understand that our stakeholders in industry and academia have different preferences and ways of working and must be approached in different manners. You
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response to treatment, may be explained by variations in the interactions between cancer cells and different immune cells within the tumor microenvironment. The aim of the present project is to delineate
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contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating