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in large pre-trained models (vision-language models), generative models (flow matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together
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to identify the mechanisms controlling removal and recovery of trace elements and rare earth elements. Duties A central part of the work is to cultivate selected microalgae under controlled laboratory and pilot
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control and mathemathical statistics is strongly desired You have documented potential in research and education, shown through publications, projects, or teaching activities You are somewhat accustomed
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18 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Engineering » Control engineering Engineering » Systems
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must be inferred from the data. The overall goal is to develop reliable and robust statistical methods that can contribute to scientific understanding and inform decision-making and public policy
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the green microalga Chlorella vulgaris, a commercially important production organism whose robust cell wall is simultaneously the subject of basic biological interest and a practical obstacle to extracting
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Innovation Network center SWE-WIN, which aim to advance resilient, robust, and energy-efficient wireless networks capable of supporting emerging services. The research focuses on resource management and
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, crisis response, climate adaptation, infrastructure vulnerability, accessibility or equity analysis. Experience with open science, reproducible workflows, version control, containerised pipelines, data