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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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recycling. Current industrial recycling is mainly based on pyro- and hydrometallurgical methods, or a combination of those, to recover critical elements as well as elements that should not be released
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and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational
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Postdoctoral Researcher in Molecular Systems Biology, you will develop and apply world-class methods to image and analyze the dynamics of individual chromosomes across bacterial strain libraries. Your work will
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recycling. Current industrial recycling is mainly based on pyro- and hydrometallurgical methods, or a combination of those, to recover critical elements as well as elements that should not be released
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for the project. The research will primarily involve physical modelling of Li-ion batteries through finite element methods. Requirements: PhD degree in chemistry, physics, materials science or engineering, or a
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partnership between academia and industry to drive research and development forward. Project description This project aims to develop unsupervised machine learning methods for extracting dynamical models