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, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research effort supported by the Wallenberg Initiative
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personalize interactions based on spatial and behavioral cues. Thus, the project requires technical skills in the development and programming of embodied AI agents. You will collaborate closely with
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Meritorious will be considered experience in: - Microscopy-based imaging - Immunohistochemistry - Work with clonal cell lines - Work with other model organisms such as D. melanogaster or D. rerio You are a
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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, particularly related to data sharing between actors in the supply chain. This project will study how digital product passports (DPP), and ontology-based platforms for collecting and interpreting such data, can
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address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model
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how digital product passports (DPP), and ontology-based platforms for collecting and interpreting such data, can facilitate data sharing among actors involved in a new circular flow of flat glass
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behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model species, the PhD student selected for this project will investigate unanswered questions on how complex
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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