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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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that you have a PhD in natural sciences/technology/medicine/mathematics/physics or equivalent, with a focus on machine learning, Excellent oral and written English skills, Publications in machine learning
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system level where the impact on the entire food system will be analyzed. Of interest are, for example, novel food technologies, but also well-known food processing methods such as for example tofu and
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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science
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focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research
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is necessary to develop efficient remediation technologies. At the same time, current recycling processes are greatly complicated by the presence of pollutants (chemical treatment products, heavy
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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here . Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files
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of the following or related fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in