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estimators such as Design-based Supervised Learning and Prediction-Powered Inference, and applying mechanistic interpretability techniques, for example sparse feature circuits and the SHIFT method, so that
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. For more information see https://www. umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP Wallenberg AI, Autonomous Systems and Software
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activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Read more: https://wise-materials.org The employment This employment is a
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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manufacturing techniques is the key to improved heat transfer mechanisms and more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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party in many contexts, which provides a great opportunity to be involved in challenging development projects. Qualifications To be qualified for the position, you must hold a PhD degree in Control
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structured manner, as well as excellent collaboration skills, be able to independently plan and conduct experimental studies and effectively manage and resolve unforeseen challenges, have experience with cell