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or explainable AI or safety). Experience in machine learning, causal inference, image processing, human-robot interaction, or large language models. Experience in analyzing multimodal data (e.g., text, sensor
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methods, including modern machine learning methods, to draw inferences from register data. A third project “Integrative machine and deep learning models for predictive analysis in complex disease areas“ is
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spatial problem (e.g. 3D puzzle). The tasks to be carried out are: (i) scene understanding: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e
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. Excellent international collaboration opportunities exist, backed-up by a strong track-record of joint work with globally leading research groups and large tech companies. Wallenberg AI, Autonomous Systems
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on bacteria is also advantageous. The candidate is expected to have a strong track record in a relevant field of research, documented by authorship of a strong PhD thesis and preferably also articles in peer
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the groups on existing projects, but will also be given the opportunity to develop and work on their own research ideas. The project is part of the AI/MLX track of the Wallenberg AI, Autonomous Systems, and