11 image-processing-and-machine-learning PhD positions at Erasmus University Rotterdam
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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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scholarship on the role of the cultural industries, and of creative work specifically, for broader processes of social and political transformations. We especially appreciate applications from candidates with
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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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understanding of the decision-making process of street-level workers. This PhD project ‘ICONIC’ (‘International Comparative research Of street-level decisions in superdiverse Neighbourhoods In Context’) funded by
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. This demands renewed understanding of the decision-making process of street-level workers. This PhD project ‘ICONIC’ (‘International Comparative research Of street-level decisions in superdiverse Neighbourhoods
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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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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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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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to your application before 16 June 2025. Applications will be reviewed by the supervisors and recruitment committees. An interview could be part of the application process. Kindly note that we can only
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letter and CV, before 22-6-2025 via AcademicTransfer citing Social Policies.The selection procedure consists of 1 or 2 interviews. Interviews are expected to be held in the first weeks of July 2025. You