11 condition-monitoring-machine-learning PhD positions at Erasmus University Rotterdam in Netherlands
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description This project addresses the effective design of a military supply logistics network, composed of transportation and communication links such as roads and rail, aerial drone routes, and nodes, such as
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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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. 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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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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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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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