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Field
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, 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. Through top scientific
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-clinical datasets; and investigating fairness, privacy, uncertainty estimation and explainability so that predictions are reliable and used as decision-support rather than automated diagnosis. The student
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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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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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screening and other interventions have been implemented. The project views recruitment as a multi-stage process, where screening, interviews and final decisions interact, and where bias-reducing mechanisms
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
signatures characteristic of lung cancer cells that have experienced hypoxia and to assess their potential for metastasis. To this end, we will use a state-of-the-art permanent fluorescent labeling system
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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sustainability assessment to develop next-generation tools and methods that inform decision-making and support the development of safe and sustainable products and policies. This PhD position is embedded in
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, coordinate across internal functions, and translate new external demands into organizational priorities, practices, and decision-making processes. A central component of the work will be qualitative empirical