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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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radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern
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competence. The lab has a strong track record of performing insightful genetic screens in different life cycle stages (e.g. Bushell et al., 2017; Stanway et al., 2019; Russell et al., 2023). The primary aim
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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