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illuminate the world of data work and identify policy measures to help protect data workers, specifically those who are most dependent on platform work for their livelihood. It also prioritises learning from
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backgrounds, cultures, and perspectives. Will you also contribute to making the world a little better? You have a part to play. If you want to learn more about working at Radboud University, follow our
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML (Random Forest, SVM, Fully Connected Neural Networks) will be essential
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closely with experienced faculty members to develop and deliver courses at the BSc and MSc levels. RSM has a dedicated Learning Innovation Team (LIT), which supports faculty members in the improvement and
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on methods such as functional connectivity analysis, brain network analysis, or machine learning; Excellent scientific writing and communication skills in English; Ability to work independently while
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/ ) excels in teaching and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to
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of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to this is individual and societal resilience and
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on several influential ranking lists. The Faculty of Behavioral and Social Sciences excels in teaching and research in the fields of human behavior, thinking, learning, and how people live together. We work
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learning (ML) methods in healthcare settings. You will investigate how causal inference techniques can be leveraged to enhance the monitoring of deployed medical AI applications. This exploration will