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Vacancies EngD or PostDoc Position on Future-Proof, Self-Organizing, Smart Logistics Key takeaways We are looking for a highly motivated, enthusiastic, and curious EngD (Engineering Doctorate
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" field of the "application information" section. This position, located at the crossroads of academic approaches and industrial applications, of AI and space systems engineering, is at the core of current
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Diabetes2Care a consortium around Diavantis B.V. has set of to develop an app that enables people with type 2 diabetes to take control and more responsibility for their own health. The Discret Technology and
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of obstructive respiratory events during sleep can be used personalized event-driven intervention and therapy efficiency monitoring. Within this interdisciplinary project, the Discrete Technology and Production
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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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are looking for candidates with: A PhD in Operations Research, Applied Mathematics, Mathematics, Engineering, or a related field. A background in logistics (preferred). Strong writing and presentation skills in
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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; developing visualisation prototypes to communicate uncertainty to end-users; contributing to a computational framework for data production in cooperation with Research Software Engineers; working closely with
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Strong quantitative skills and experience with scientometric methods, machine learning for text analysis, and possibly LLMs. Experience with the analysis of science and technology data (patents and