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Are you eager to innovate risk assessment methods and reshape safety certification frameworks for safety critical systems leveraging AI and IoT technologies? This project aims at advancing inspection and data collection strategies optimization, and their integration within novel data-driven risk...
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to explore material systems that host novel types of correlated electron ground states as well as pushing forwards the limit of the implementation of brain-inspired computing in materials. You will use a
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Studies, History, International Relations, Language and Literary Studies, Linguistics and Media and Journalism Studies. Programme History is a large and dynamic department with a strong regional anchor and
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Spatial Planning investigates sustainability challenges in the context of an ongoing worldwide trend of increasing urbanization. The Department’s ‘Urban Futures’ research program focuses on the enhancement
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team. You meet the following criteria: You hold, or are about to complete, a Master’s degree in Biology or Engineering. In a programme that requires two internships, students who have completed
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Resources Management and Earth System Change groups) at Wageningen University. The position is based within the Sector-plan project “New perspectives on the Water Cycle” to develop novel methods
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our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is an internationally oriented university with a strong social
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provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related
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this PhD project, you will: investigate cardiovascular function and risk factors in critically ill patients using electrocardiograms (ECGs) and computed tomography (CT) data from a very large (> 20,000 ICU
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obesity to malnutrition, and from molecules to the moon: we cover the full spectrum of the natural sciences. Our teaching and research have a strong experimentally technical, computational and