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Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted
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Division, Systems Department, Directorate of Technology, Engineering and Quality. The Future Engineering Division, in support of the programme directorates, is responsible for developing and providing
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external funding; Establishing and coordinating a learning community in the field of Data Science and Healthy Lifestyles to promote knowledge sharing and collaboration. Your qualities A completed PhD in a
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the following requirements: A PhD degree in Chemical Engineering, electrochemistry, or related fields. Solid knowledge and demonstrated skills in one of the following areas: coordination chemistry
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within the domains of food, living environment, and society. With approximately 30 locations, 7,700 staff members, 2,500 PhD candidates, and over 13,000 students, Wageningen University & Research is among
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Are you excited about applying AI to solve real clinical challenges? As a postdoctoral researcher in the Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop...
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Today, companies across a wide range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in diverse domains—such as manufacturing, rental platforms, and production systems—where...
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Duijnhoven , which currently consists of 6 PhD students and 2 postdocs. Within the NWO-project, you will closely collaborate with the postdoc and Principal Investigator (Prof. dr. Riccardo Fodde) at Erasmus MC
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please use the following link: www.rug.nl/research/ape Qualifications Candidates should have a PhD degree in materials science and engineering. A strong background in chemical vapor deposition and
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Key takeaways To bring computing power to the edge and to make the cloud sustainable, various paradigms for energy-efficient computing are emerging. These paradigms, for example neuromorphic, wave