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project RISK-AI which focuses on the Nordic‑Baltic context to examine how two healthcare cases with different AI-tools interpret the AI Act, define acceptable clinical risk, and develop strategies
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, result-oriented Excellent analytical skills, analyze data, assess different perspectives and draw well-founded conclusions Strong motivation to contribute to a good working and social environment In
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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project RISK-AI which focuses on the Nordic‑Baltic context to examine how two healthcare cases with different AI-tools interpret the AI Act, define acceptable clinical risk, and develop strategies
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, assess different perspectives and draw well-founded conclusions Strong motivation to contribute to a good working and social environment In the evaluation of which candidate is best qualified, emphasis
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on different aspects of AI, with main focus on visual data. You may read more about VAP Lab, including current projects and members, here: https://vap.aau.dk/ The candidate will also be part of the Pioneer
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on plants, the student will explore for the first time the relationship between different TE classes on the ‘genome ecosystem’ of their plant hosts at scale. TEs, like any other group of organisms, have a
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. We are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day
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the capabilities and improve the robustness in different application scenarios we are aiming at several show-case topics like visualization of small tumor sites, metastasis, visualization of immune cell recruiting
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry