11 condition-monitoring-machine-learning PhD positions at Erasmus University Rotterdam
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written communication skills in English (CEFR C1); The ability to carry out high level research and publish in renowned peer reviewed international journals. Employment conditions and benefits We offer you
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the same time, you will teach (20%) academically. Your teaching activities will take place within the programmes and courses of the Law & Markets Department. The particular teaching tasks will be decided
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. Legal systems worldwide—and particularly within the European Union (EU)—are facing urgent challenges in addressing the ethical and societal impacts of AI-driven applications and machine-learning
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technologies. The successful candidate will have strong data-driven methodological learning opportunities with high social impact on cancer care organisation. They will work within an interdisciplinary team
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learn in situations that are beyond their current capabilities. The ideal candidate has interests in quantitative methods and has a strong motivation for doing health technology assessment/health economic
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to discuss findings in a peer-learning infrastructure The project is embedded in the Team Policy, Politics and Society of the Department of Public Administration and Sociology at the Erasmus School of Social
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on the situational assessment of street-level workers by vignette studies 4) SP4 includes Local and Transnational Labs in which participants will be brought together to discuss findings in a peer-learning
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on comparative effectiveness from randomised controlled trials at initial assessments and the desire to learn from the use and effects of technologies in every day clinical practice. To fully realize the value
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letters Curriculum Vitae Employment conditions and benefits We offer you an internationally oriented and varied job in an enthusiastic team, with excellent working conditions in accordance with
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Introduction Are you interested in understanding the relation between socio-economic status and health? Do you want to inform health policy by providing empirical evidence on how to mitigate the impact of crises