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Sciences division. This multidisciplinary team utilises a combination of machine learning and mechanistic modelling to derive models and scientific insights from data, which both support and enhance drug
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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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in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about
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in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about
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for Computer Vision conducts research and education in machine learning for computer vision at the undergraduate, advanced, and PhD levels. CVL has been identified as an outstanding Swedish research environment
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of course transcripts, PhD degree certificate and other certificates no more than 10 scientific publications and no more than 5 materials intended to convey knowledge, such as textbooks, computer programs for
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focuses on the creation of visual representations that create insights and clarification of complex data. This includes the interpretability and explainability of machine learning models
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lecturer, applicants are required to hold a PhD or equivalent academic qualifications in analytical chemistry. The position is primarily intended for applicants who have completed their PhD, or acquired
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interdisciplinary and to learn new skills and to perform research in collaboration with others. We seek candidates with the following qualifications: A doctoral degree in a Bioscience-related field awarded
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, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time