7 condition-monitoring-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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the game as an informal learning site for ideas about societal issues. This includes ideas about race and ethnicity, given the racial/ethnic diversity of the digital players in the game. EA FC assigns
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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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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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mind that proof of a master’s degree is a formal requirement for employment and has to be delivered at least 3 weeks before the start date of the contract. Employment conditions and benefits